{"product_id":"lsr550-ackermann-ros2-ugv","title":"LSR550 ACM Ackermann ROS 2 UGV Research Platform","description":"\u003cdiv style=\"font-family:Arial,Helvetica,sans-serif;font-size:16px;line-height:1.68;color:#2f3540;\"\u003e\n\n\u003cp style=\"font-size:16.5px;line-height:1.65;margin:0 0 14px;color:#26384b;\"\u003e\nThe LSR550 ACM is an Ackermann-steering ROS 2 UGV research platform for autonomous driving, SLAM, navigation, perception, sensor fusion, AI, and mobile-robot control. Three chassis configurations cover payload requirements from 25 kg to 45 kg, while Raspberry Pi 5 and NVIDIA Jetson options support workloads ranging from standard ROS development to GPU-accelerated perception and Autoware research.\n\u003c\/p\u003e\n\n\u003cul style=\"font-size:16px;line-height:1.65;margin:10px 0 22px;padding-left:24px;\"\u003e\n\u003cli style=\"margin:5px 0;\"\u003eAckermann steering geometry for vehicle-like motion and autonomous-driving research\u003c\/li\u003e\n\u003cli style=\"margin:5px 0;\"\u003eThree chassis configurations with 25 kg, 45 kg, and 35 kg payload capacities\u003c\/li\u003e\n\u003cli style=\"margin:5px 0;\"\u003eMD36L 60 W or MD60 100 W drive motors depending on chassis configuration\u003c\/li\u003e\n\u003cli style=\"margin:5px 0;\"\u003e500-line AB-phase GMR encoder feedback\u003c\/li\u003e\n\u003cli style=\"margin:5px 0;\"\u003eRaspberry Pi 5, Jetson Orin Nano Super, and Jetson Orin NX Super controller options\u003c\/li\u003e\n\u003cli style=\"margin:5px 0;\"\u003eN10P \/ M10P 2D TOF LiDAR plus RGB-D depth-camera configurations\u003c\/li\u003e\n\u003cli style=\"margin:5px 0;\"\u003eROS 1 \/ ROS 2 resources for SLAM, Nav2, perception, planning, tracking, and secondary development\u003c\/li\u003e\n\u003cli style=\"margin:5px 0;\"\u003eOptional multi-line LiDAR, Autoware workflows, AI integration, semantic navigation, and autonomous charging\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2 style=\"font-size:24px;line-height:1.3;font-weight:700;margin:34px 0 16px;color:#1f3f67;letter-spacing:-0.2px;\"\u003eProduct Overview\u003c\/h2\u003e\n\n\u003cp style=\"font-size:16px;line-height:1.68;margin:0 0 14px;color:#2f3540;\"\u003eUnlike differential-drive or omnidirectional platforms, the LSR550 ACM uses Ackermann steering geometry. This makes it suitable for research involving vehicle-like steering, trajectory tracking, autonomous-driving algorithms, outdoor navigation, and motion planning under nonholonomic constraints.\u003c\/p\u003e\n\n\u003cp style=\"font-size:16px;line-height:1.68;margin:0 0 14px;color:#2f3540;\"\u003eStandard, Pro, and Ultra versions are available across three chassis families. The Basic Package provides the robot chassis without the ROS computer, LiDAR, or depth-camera bundle, while ROS configurations add the selected onboard computer and perception hardware.\u003c\/p\u003e\n\n\u003ch2 style=\"font-size:24px;line-height:1.3;font-weight:700;margin:34px 0 16px;color:#1f3f67;letter-spacing:-0.2px;\"\u003eChassis Configuration Comparison\u003c\/h2\u003e\n\n\u003cdiv style=\"overflow-x:auto;-webkit-overflow-scrolling:touch;\"\u003e\n\u003ctable style=\"font-size:14.5px;line-height:1.45;width:100%;min-width:980px;border-collapse:collapse;\"\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth style=\"padding:10px 9px;border:1px solid #d8dde5;background:#f5f7fa;color:#28384c;text-align:left;\"\u003eSpecification\u003c\/th\u003e\n\u003cth style=\"padding:10px 9px;border:1px solid #d8dde5;background:#f5f7fa;color:#28384c;text-align:left;\"\u003ePremium Oscillating Axle\u003c\/th\u003e\n\u003cth style=\"padding:10px 9px;border:1px solid #d8dde5;background:#f5f7fa;color:#28384c;text-align:left;\"\u003eUltimate Oscillating Axle\u003c\/th\u003e\n\u003cth style=\"padding:10px 9px;border:1px solid #d8dde5;background:#f5f7fa;color:#28384c;text-align:left;\"\u003eIndependent Suspension\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eMotor\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eMD36L 60 W brushed DC\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eMD60 100 W DC gear motor\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eMD60 100 W DC gear motor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eReduction Ratio\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e1:27\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e1:18\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e1:18\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eMaximum Speed\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e1.3 m\/s\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e1.65 m\/s\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e1.65 m\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003ePayload\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e25 kg\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e45 kg\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e35 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eNet Weight\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e9.3 kg\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e20.0 kg\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e43.6 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eMaximum Climbing Angle\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e27°\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e25°\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e11°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eSingle Right-Angle Step Clearance\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e30 mm\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e30 mm\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e75 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eDimensions\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e445 × 360 × 206 mm\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e774 × 570 × 227 mm\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e881 × 766 × 432 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eMinimum Turning Radius\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e0.8 m\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e1.65 m\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e1.78 m\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eEndurance\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e9.5 h no-load \/ 8.5 h at 20% load\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e4.5 h no-load \/ 3 h at 20% load\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e13 h no-load \/ 9 h at 20% load\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eSteering Servo\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eS20F 20 kg digital servo\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eDS5160 60 kg digital servo\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eDS5160 60 kg digital servo\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eWheels\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e125 mm solid rubber\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e180 mm solid rubber\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e254 mm pneumatic rubber\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eEncoder\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\" colspan=\"3\"\u003e500-line AB-phase GMR encoder\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\n\u003ch2 style=\"font-size:24px;line-height:1.3;font-weight:700;margin:34px 0 16px;color:#1f3f67;letter-spacing:-0.2px;\"\u003eOnboard Computer Options\u003c\/h2\u003e\n\n\u003cdiv style=\"overflow-x:auto;-webkit-overflow-scrolling:touch;\"\u003e\n\u003ctable style=\"font-size:14.5px;line-height:1.45;width:100%;min-width:940px;border-collapse:collapse;\"\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth style=\"padding:10px 9px;border:1px solid #d8dde5;background:#f5f7fa;color:#28384c;text-align:left;\"\u003eController\u003c\/th\u003e\n\u003cth style=\"padding:10px 9px;border:1px solid #d8dde5;background:#f5f7fa;color:#28384c;text-align:left;\"\u003eRaspberry Pi 5\u003c\/th\u003e\n\u003cth style=\"padding:10px 9px;border:1px solid #d8dde5;background:#f5f7fa;color:#28384c;text-align:left;\"\u003eJetson Orin Nano Super\u003c\/th\u003e\n\u003cth style=\"padding:10px 9px;border:1px solid #d8dde5;background:#f5f7fa;color:#28384c;text-align:left;\"\u003eJetson Orin NX Super\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eMemory\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e8 GB\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e8 GB LPDDR5\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e16 GB LPDDR5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eStorage\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e64 GB MicroSD\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e256 GB SSD\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e256 GB SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eROS System\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eROS 1 Melodic \/ ROS 2 Humble\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eROS 1 Noetic \/ ROS 2 Humble\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eROS 1 Noetic \/ ROS 2 Humble\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eNetwork\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eGigabit Ethernet, Wi-Fi 802.11ac\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eGigabit Ethernet, M.2 PCIe\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eGigabit Ethernet, M.2 PCIe\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eAI Compute\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e0.8 TOPS (FP16)\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e67 TOPS\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e157 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\n\u003cp style=\"font-size:16px;line-height:1.68;margin:0 0 14px;color:#2f3540;\"\u003eRaspberry Pi 5 is suitable for ROS education, SLAM, navigation, and standard mobile-robot development. NVIDIA Jetson configurations provide additional GPU resources for object detection, multimodal perception, local AI models, multi-sensor processing, and Autoware-oriented research.\u003c\/p\u003e\n\n\u003ch2 style=\"font-size:24px;line-height:1.3;font-weight:700;margin:34px 0 16px;color:#1f3f67;letter-spacing:-0.2px;\"\u003e2D LiDAR Options\u003c\/h2\u003e\n\n\u003cdiv style=\"overflow-x:auto;-webkit-overflow-scrolling:touch;\"\u003e\n\u003ctable style=\"font-size:14.5px;line-height:1.45;width:100%;min-width:720px;border-collapse:collapse;\"\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth style=\"padding:10px 9px;border:1px solid #d8dde5;background:#f5f7fa;color:#28384c;text-align:left;\"\u003eSpecification\u003c\/th\u003e\n\u003cth style=\"padding:10px 9px;border:1px solid #d8dde5;background:#f5f7fa;color:#28384c;text-align:left;\"\u003eN10P\u003c\/th\u003e\n\u003cth style=\"padding:10px 9px;border:1px solid #d8dde5;background:#f5f7fa;color:#28384c;text-align:left;\"\u003eM10P\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eDetection Radius\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e25 m\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e30 m\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eScanning Frequency\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e6–12 Hz adjustable\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e12 Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eSampling Rate\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e5400 Hz\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e20000 Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eOutput Data\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eAngle, distance, intensity\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eAngle, distance\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eAngular Resolution\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e0.4°–0.8° adjustable\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e0.22°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eAmbient Light Resistance\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e60 kLux\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e100 kLux\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eInterface\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\" colspan=\"2\"\u003eSerial\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eScanning Range\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\" colspan=\"2\"\u003e360°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eRanging Principle\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\" colspan=\"2\"\u003eTOF (Time of Flight)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\n\u003ch2 style=\"font-size:24px;line-height:1.3;font-weight:700;margin:34px 0 16px;color:#1f3f67;letter-spacing:-0.2px;\"\u003eRGB-D Depth Camera\u003c\/h2\u003e\n\n\u003cdiv style=\"overflow-x:auto;-webkit-overflow-scrolling:touch;\"\u003e\n\u003ctable style=\"font-size:14.5px;line-height:1.45;width:100%;min-width:720px;border-collapse:collapse;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eRanging Principle\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eMonocular structured light with infrared projection\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eDepth Range\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e0.6–8 m\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eDepth Resolution \/ Frame Rate\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e640 × 480 @ 30 fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eRGB Resolution \/ Frame Rate\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e1920 × 1080 @ 30 fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eDepth FOV\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eH58.4° × V45.5°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eRGB FOV\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eH66.1° × V40.2°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eInterface\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eUSB 2.0 Type-A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eOperating Environment\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eIndoor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003ePower Consumption\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003e\u0026lt; 2.5 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eLaser Safety\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eClass 1 laser product\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\n\u003ch2 style=\"font-size:24px;line-height:1.3;font-weight:700;margin:34px 0 16px;color:#1f3f67;letter-spacing:-0.2px;\"\u003eUltra Configuration: 3D LiDAR \u0026amp; Autoware\u003c\/h2\u003e\n\n\u003cp style=\"font-size:16px;line-height:1.68;margin:0 0 14px;color:#2f3540;\"\u003eThe Ultra version includes multi-line LiDAR as standard. Optional 16-line and 32-line mechanical LiDAR configurations support 3D point-cloud perception, mapping, obstacle detection, environment reconstruction, and low-speed autonomous-driving research.\u003c\/p\u003e\n\n\u003cp style=\"font-size:16px;line-height:1.68;margin:0 0 14px;color:#2f3540;\"\u003eAutoware-oriented workflows include HD-map-based path planning, point-cloud obstacle avoidance, 3D reconstruction, and multi-point navigation. Jetson Orin controllers provide the compute resources typically used for these perception and planning workloads.\u003c\/p\u003e\n\n\u003ch2 style=\"font-size:24px;line-height:1.3;font-weight:700;margin:34px 0 16px;color:#1f3f67;letter-spacing:-0.2px;\"\u003eROS, AI \u0026amp; Development Resources\u003c\/h2\u003e\n\n\u003cp style=\"font-size:16px;line-height:1.68;margin:0 0 14px;color:#2f3540;\"\u003eDevelopment resources include RTAB-Map, 2D LiDAR SLAM, ORB-SLAM2, ROS Qt tools, YOLO object detection, LLM integration, depth-based following, KCF tracking, AR-tag recognition, RRT autonomous exploration, RGB line following, LiDAR following, angle masking, voice-interaction workflows, TEB \/ DWA path planning, Nav2 DWB \/ MPPI \/ RPP controllers, coverage planning, path recording and playback, URDF models, mobile tools, optional 4G \/ 5G communication, 3D reconstruction, and Autoware examples.\u003c\/p\u003e\n\n\u003cp style=\"font-size:16px;line-height:1.68;margin:0 0 14px;color:#2f3540;\"\u003eThe package also includes source code, ROS system images, development manuals, video tutorials, mapping examples, navigation examples, and sensor-integration resources for secondary development.\u003c\/p\u003e\n\n\u003ch2 style=\"font-size:24px;line-height:1.3;font-weight:700;margin:34px 0 16px;color:#1f3f67;letter-spacing:-0.2px;\"\u003eWhich Configuration Should I Choose?\u003c\/h2\u003e\n\n\u003cdiv style=\"overflow-x:auto;-webkit-overflow-scrolling:touch;\"\u003e\n\u003ctable style=\"font-size:14.5px;line-height:1.45;width:100%;min-width:860px;border-collapse:collapse;\"\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth style=\"padding:10px 9px;border:1px solid #d8dde5;background:#f5f7fa;color:#28384c;text-align:left;\"\u003eResearch Goal\u003c\/th\u003e\n\u003cth style=\"padding:10px 9px;border:1px solid #d8dde5;background:#f5f7fa;color:#28384c;text-align:left;\"\u003eConfiguration Guidance\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eROS learning, SLAM \u0026amp; Nav2\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eRaspberry Pi 5 with 2D LiDAR\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eComputer vision \u0026amp; AI perception\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eJetson Orin Nano Super or Orin NX Super\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eAutoware \u0026amp; 3D point-cloud research\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eJetson Orin configuration with multi-line LiDAR\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eCustom sensor \/ computer integration\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eBasic Package with your own compute and sensing stack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eHigher payload expansion\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eUltimate Oscillating Axle configuration\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eLarger wheels and 75 mm step clearance\u003c\/td\u003e\n\u003ctd style=\"padding:9px;border:1px solid #d8dde5;\"\u003eIndependent Suspension configuration\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\n\u003ch2 style=\"font-size:24px;line-height:1.3;font-weight:700;margin:34px 0 16px;color:#1f3f67;letter-spacing:-0.2px;\"\u003eApplications\u003c\/h2\u003e\n\n\u003cul style=\"font-size:16px;line-height:1.65;margin:10px 0 22px;padding-left:24px;\"\u003e\n\u003cli style=\"margin:5px 0;\"\u003eAckermann vehicle-control and trajectory-tracking research\u003c\/li\u003e\n\u003cli style=\"margin:5px 0;\"\u003eROS 2 SLAM, localization, and Nav2 development\u003c\/li\u003e\n\u003cli style=\"margin:5px 0;\"\u003eAutonomous-driving and Autoware research\u003c\/li\u003e\n\u003cli style=\"margin:5px 0;\"\u003eLiDAR-camera and multi-sensor fusion\u003c\/li\u003e\n\u003cli style=\"margin:5px 0;\"\u003eComputer vision, target detection, and tracking\u003c\/li\u003e\n\u003cli style=\"margin:5px 0;\"\u003eEmbodied AI and semantic navigation\u003c\/li\u003e\n\u003cli style=\"margin:5px 0;\"\u003eOutdoor mapping and 3D point-cloud perception\u003c\/li\u003e\n\u003cli style=\"margin:5px 0;\"\u003eUniversity robotics education and algorithm validation\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2 style=\"font-size:24px;line-height:1.3;font-weight:700;margin:34px 0 16px;color:#1f3f67;letter-spacing:-0.2px;\"\u003eRelated Products\u003c\/h2\u003e\n\n\u003cp style=\"font-size:16px;line-height:1.68;margin:0 0 14px;color:#2f3540;\"\u003eFor a 4WD skid-steer research chassis, see the \u003ca href=\"https:\/\/shop.lucsysrobotics.com\/products\/lsr550-4wd-ros-research-robot-platform\" style=\"color:#1f5f9b;text-decoration:underline;\"\u003eLSR550 4WD ROS Research Robot\u003c\/a\u003e. For omnidirectional motion, see the \u003ca href=\"https:\/\/shop.lucsysrobotics.com\/products\/lsr550-omni-ros-research-robot-platform\" style=\"color:#1f5f9b;text-decoration:underline;\"\u003eLSR550 Omni ROS Research Robot\u003c\/a\u003e. For a compact differential-drive version, see the \u003ca href=\"https:\/\/shop.lucsysrobotics.com\/products\/lsr550-2wd-ros-research-robot-platform\" style=\"color:#1f5f9b;text-decoration:underline;\"\u003eLSR550 2WD ROS Research Robot\u003c\/a\u003e.\u003c\/p\u003e\n\n\u003c\/div\u003e","brand":"Lucsys Robotics","offers":[{"title":"Premium Oscillating Axle Suspension \/ Standard \/ Basic Package（Without Controller\u0026Lidar\u0026Depth Camera）","offer_id":46587101872327,"sku":null,"price":1922.0,"currency_code":"SGD","in_stock":true},{"title":"Premium Oscillating Axle Suspension \/ Standard \/ Raspberry Pi 5 (8GB)","offer_id":46587101905095,"sku":null,"price":3519.0,"currency_code":"SGD","in_stock":true},{"title":"Premium Oscillating Axle Suspension \/ Standard \/ Orin Nano Super (8GB)","offer_id":46587101937863,"sku":null,"price":4300.0,"currency_code":"SGD","in_stock":true},{"title":"Premium Oscillating Axle Suspension \/ Standard \/ Orin NX Super (16GB)","offer_id":46587101970631,"sku":null,"price":5515.0,"currency_code":"SGD","in_stock":true},{"title":"Premium Oscillating Axle Suspension \/ Pro \/ Raspberry Pi 5 (8GB)","offer_id":46587102003399,"sku":null,"price":4604.0,"currency_code":"SGD","in_stock":true},{"title":"Premium Oscillating Axle Suspension \/ Pro \/ Orin Nano Super (8GB)","offer_id":46587102036167,"sku":null,"price":5385.0,"currency_code":"SGD","in_stock":true},{"title":"Premium Oscillating Axle Suspension \/ Pro \/ Orin NX Super (16GB)","offer_id":46587102068935,"sku":null,"price":6600.0,"currency_code":"SGD","in_stock":true},{"title":"Premium Oscillating Axle Suspension \/ Ultra \/ Raspberry Pi 5 (8GB)","offer_id":46587102101703,"sku":null,"price":8379.0,"currency_code":"SGD","in_stock":true},{"title":"Premium Oscillating Axle Suspension \/ Ultra \/ Orin Nano Super (8GB)","offer_id":46587102134471,"sku":null,"price":9160.0,"currency_code":"SGD","in_stock":true},{"title":"Premium Oscillating Axle Suspension \/ Ultra \/ Orin NX Super (16GB)","offer_id":46587102167239,"sku":null,"price":10375.0,"currency_code":"SGD","in_stock":true},{"title":"Ultimate Oscillating Axle Suspension \/ Standard \/ Basic Package（Without Controller\u0026Lidar\u0026Depth Camera）","offer_id":46587102527687,"sku":null,"price":4070.0,"currency_code":"SGD","in_stock":true},{"title":"Ultimate Oscillating Axle Suspension \/ Standard \/ Raspberry Pi 5 (8GB)","offer_id":46587102560455,"sku":null,"price":5588.0,"currency_code":"SGD","in_stock":true},{"title":"Ultimate Oscillating Axle Suspension \/ Standard \/ Orin Nano Super (8GB)","offer_id":46587102593223,"sku":null,"price":6370.0,"currency_code":"SGD","in_stock":true},{"title":"Ultimate Oscillating Axle Suspension \/ Standard \/ Orin NX Super (16GB)","offer_id":46587102625991,"sku":null,"price":7585.0,"currency_code":"SGD","in_stock":true},{"title":"Ultimate Oscillating Axle Suspension \/ Pro \/ Raspberry Pi 5 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Robotics","version":"1.0","type":"link"}