{"product_id":"lsr280-four-wheel-steering-ros-robot","title":"LSR280 Four-Wheel Independent Steering ROS Research Robot Platform","description":"\u003cdiv style=\"font-family:Arial,Helvetica,sans-serif;font-size:16px;line-height:1.68;color:#2f3540;\"\u003e\n\u003cp style=\"font-size:16.5px;color:#26384b;\"\u003eThe \u003cstrong\u003eLSR280\u003c\/strong\u003e is a four-wheel-drive, four-wheel-independent-steering mobile robot platform for ROS-based navigation, embodied-AI prototyping, university research and robotics integration. Each wheel uses an independent drive motor and steering actuator, enabling conventional forward motion, coordinated Ackermann steering, diagonal crab movement and on-the-spot rotation. The chassis supports a rated payload of up to \u003cstrong\u003e70 kg\u003c\/strong\u003e and provides an expandable upper deck for onboard computing and perception hardware.\u003c\/p\u003e\n\u003ch2 style=\"font-size:24px;font-weight:700;color:#1f3f67;margin:34px 0 16px;\"\u003eKey Highlights\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eIndependent drive and steering at all four wheels for multiple motion modes.\u003c\/li\u003e\n\u003cli\u003e70 kg maximum payload in a 640 × 542 × 389.1 mm chassis.\u003c\/li\u003e\n\u003cli\u003eFour 120 W hub servo drive motors and four independent brushless steering servo motors.\u003c\/li\u003e\n\u003cli\u003eUp to 2.0 m\/s travel speed; zero-radius turning capability.\u003c\/li\u003e\n\u003cli\u003e25.55 V, 20 Ah lithium iron phosphate (LiFePO4) battery; approximately 10-hour reference runtime under operating-dependent conditions.\u003c\/li\u003e\n\u003cli\u003eROS \/ ROS 2 development and SDK integration, with configurable onboard controllers and sensors.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 style=\"font-size:24px;font-weight:700;color:#1f3f67;margin:34px 0 16px;\"\u003eChassis and Mobility\u003c\/h2\u003e\n\u003cp\u003eThe LSR280 uses four independently controlled wheel steering axes with absolute encoder steering-position feedback. Its low-slip maneuvering modes suit constrained indoor environments, motion-planning research and autonomous mobile robot experiments.\u003c\/p\u003e\n\u003cdiv style=\"overflow-x:auto;-webkit-overflow-scrolling:touch;\"\u003e\u003ctable style=\"font-size:14.5px;line-height:1.45;width:100%;border-collapse:collapse;\"\u003e\n\u003ctr\u003e\n\u003cth style=\"border:1px solid #d8dde5;padding:9px;background:#f5f7fa;\"\u003eParameter\u003c\/th\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eLSR280\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"border:1px solid #d8dde5;padding:9px;background:#f5f7fa;\"\u003eDimensions (L × W × H)\u003c\/th\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e640 × 542 × 389.1 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"border:1px solid #d8dde5;padding:9px;background:#f5f7fa;\"\u003eChassis weight\u003c\/th\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e50 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"border:1px solid #d8dde5;padding:9px;background:#f5f7fa;\"\u003eMaximum payload\u003c\/th\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e70 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"border:1px solid #d8dde5;padding:9px;background:#f5f7fa;\"\u003eMaximum travel speed\u003c\/th\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e2.0 m\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"border:1px solid #d8dde5;padding:9px;background:#f5f7fa;\"\u003eMaximum obstacle height\u003c\/th\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e40 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"border:1px solid #d8dde5;padding:9px;background:#f5f7fa;\"\u003eMaximum climbing angle\u003c\/th\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e20°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"border:1px solid #d8dde5;padding:9px;background:#f5f7fa;\"\u003eWheel diameter \/ width\u003c\/th\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e103 \/ 38 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"border:1px solid #d8dde5;padding:9px;background:#f5f7fa;\"\u003eWheelbase \/ track width\u003c\/th\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e428 \/ 330 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"border:1px solid #d8dde5;padding:9px;background:#f5f7fa;\"\u003eDrive motors\u003c\/th\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e4 × 120 W hub servo motors\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"border:1px solid #d8dde5;padding:9px;background:#f5f7fa;\"\u003eRated drive voltage\u003c\/th\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e24 V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"border:1px solid #d8dde5;padding:9px;background:#f5f7fa;\"\u003eSteering actuators\u003c\/th\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e4 × brushless servo motors\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"border:1px solid #d8dde5;padding:9px;background:#f5f7fa;\"\u003eSteering position feedback\u003c\/th\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eAbsolute encoders\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"border:1px solid #d8dde5;padding:9px;background:#f5f7fa;\"\u003eSteering range\u003c\/th\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e±170° (limited)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"border:1px solid #d8dde5;padding:9px;background:#f5f7fa;\"\u003eTurning radius\u003c\/th\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eZero-radius rotation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"border:1px solid #d8dde5;padding:9px;background:#f5f7fa;\"\u003eBattery chemistry\u003c\/th\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eLithium iron phosphate (LiFePO4)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"border:1px solid #d8dde5;padding:9px;background:#f5f7fa;\"\u003eBattery nominal information\u003c\/th\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e25.55 V, 20 Ah\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"border:1px solid #d8dde5;padding:9px;background:#f5f7fa;\"\u003eReference runtime\u003c\/th\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eApprox. 10 h; varies with payload, terrain, speed and electrical loads\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003c\/div\u003e\n\u003ch2 style=\"font-size:24px;font-weight:700;color:#1f3f67;margin:34px 0 16px;\"\u003eMotion Modes\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eForward \/ reverse translation\u003c\/li\u003e\n\u003cli\u003eCoordinated dual-Ackermann steering\u003c\/li\u003e\n\u003cli\u003eCrab steering and diagonal translation\u003c\/li\u003e\n\u003cli\u003eLateral travel through steering reconfiguration\u003c\/li\u003e\n\u003cli\u003eOn-the-spot rotation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 style=\"font-size:24px;font-weight:700;color:#1f3f67;margin:34px 0 16px;\"\u003eController and Sensor Options\u003c\/h2\u003e\n\u003cp\u003eThe platform can be configured with an onboard computer, LiDAR, cameras and communication or voice hardware to match the intended research workflow. Hardware-dependent functions are available only when the corresponding components and software configuration are selected.\u003c\/p\u003e\n\u003cdiv style=\"overflow-x:auto;-webkit-overflow-scrolling:touch;\"\u003e\u003ctable style=\"font-size:14.5px;line-height:1.45;width:100%;border-collapse:collapse;\"\u003e\n\u003ctr\u003e\n\u003cth style=\"border:1px solid #d8dde5;padding:9px;background:#f5f7fa;\"\u003eOption\u003c\/th\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eSupported workflow \/ detail\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"border:1px solid #d8dde5;padding:9px;background:#f5f7fa;\"\u003e2D M10P LiDAR\u003c\/th\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e2D ranging and ROS mapping\/navigation development; 12 Hz scan frequency\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"border:1px solid #d8dde5;padding:9px;background:#f5f7fa;\"\u003e32-channel WLR-722 3D LiDAR\u003c\/th\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eOptional 3D environment perception; quoted 150 m maximum range\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"border:1px solid #d8dde5;padding:9px;background:#f5f7fa;\"\u003eMR20 millimeter-wave radar\u003c\/th\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eOptional 77 GHz short-\/medium-range sensing; 0.10–20 m quoted measurement range\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"border:1px solid #d8dde5;padding:9px;background:#f5f7fa;\"\u003eM260C smart voice module\u003c\/th\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eOptional microphone-array-based voice localization and interaction; included with designated configurations only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"border:1px solid #d8dde5;padding:9px;background:#f5f7fa;\"\u003eVision hardware\u003c\/th\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eOptional camera-based recognition and visual perception workflows\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"border:1px solid #d8dde5;padding:9px;background:#f5f7fa;\"\u003eAutomatic charging kit\u003c\/th\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eOptional map-based approach to a charging dock and automatic recharging\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"border:1px solid #d8dde5;padding:9px;background:#f5f7fa;\"\u003eOnboard compute\u003c\/th\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eController selection governs supported AI, ROS and autonomous-driving workloads\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003c\/div\u003e\n\u003ch2 style=\"font-size:24px;font-weight:700;color:#1f3f67;margin:34px 0 16px;\"\u003eLiDAR Sensor Options\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eLiDAR selection:\u003c\/strong\u003e Choose M10P for 2D indoor mapping and navigation experiments, or WLR-722 for 3D point-cloud acquisition and outdoor perception workflows. Sensor availability depends on the selected platform configuration.\u003c\/p\u003e\n\u003ch3 style=\"font-size:19px;font-weight:700;color:#284f7d;margin:24px 0 8px;\"\u003eM10P 2D LiDAR\u003c\/h3\u003e\n\u003cp\u003eThe optional M10P supports 2D ranging, point-cloud display and indoor mapping\/navigation development. It can be accessed using serial communication and offers Python-based data-acquisition examples for Windows and Ubuntu. The Plus configuration identifies this LiDAR as a standard component.\u003c\/p\u003e\n\u003cdiv style=\"overflow-x:auto;-webkit-overflow-scrolling:touch;\"\u003e\u003ctable style=\"font-size:14.5px;line-height:1.45;width:100%;border-collapse:collapse;\"\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth style=\"background:#f5f7fa;border:1px solid #d8dde5;padding:9px;text-align:left;\"\u003eSpecification\u003c\/th\u003e\n\u003cth style=\"background:#f5f7fa;border:1px solid #d8dde5;padding:9px;text-align:left;\"\u003eValue\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eType\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eShort- to medium-range 2D LiDAR\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eRanging distance\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eUp to 30 m on white targets; 12 m on black targets\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eRanging accuracy\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e±3 cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eScan frequency\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e12 Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eAngular resolution\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e0.22°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eSampling rate\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e20,000 samples\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eCommunication\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eSerial interface, 512,000 bps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eOperating voltage \/ current\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e9–32 V \/ 200 mA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eROS compatibility\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eROS 1 \/ ROS 2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003ePython examples\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eWindows \/ Ubuntu; Python 2.7 \/ 3.0 compatibility noted\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003c\/div\u003e\n\u003ch3 style=\"font-size:19px;font-weight:700;color:#284f7d;margin:24px 0 8px;\"\u003eWLR-722 32-Channel 3D LiDAR\u003c\/h3\u003e\n\u003cp\u003eThe optional WLR-722 is a 32-channel, 360° scanning 3D LiDAR for point-cloud mapping and outdoor perception experiments. It uses pulsed ranging and supports ROS 1 \/ ROS 2 integration. The Super configuration identifies this LiDAR as a standard component.\u003c\/p\u003e\n\u003cdiv style=\"overflow-x:auto;-webkit-overflow-scrolling:touch;\"\u003e\u003ctable style=\"font-size:14.5px;line-height:1.45;width:100%;border-collapse:collapse;\"\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth style=\"background:#f5f7fa;border:1px solid #d8dde5;padding:9px;text-align:left;\"\u003eSpecification\u003c\/th\u003e\n\u003cth style=\"background:#f5f7fa;border:1px solid #d8dde5;padding:9px;text-align:left;\"\u003eValue\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eChannels\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e32\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eMaximum ranging distance\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e150 m\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eRanging accuracy\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e±3 cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eHorizontal field of view\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e360°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eFrame rate\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e5 \/ 10 \/ 20 Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eRotation speed\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e300 \/ 600 \/ 1200 rpm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003ePoints per second\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e640,000 (single return); 1,280,000 (dual return)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003ePower consumption\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e12 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eROS compatibility\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eROS 1 \/ ROS 2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003c\/div\u003e\n\u003ch2 style=\"font-size:24px;font-weight:700;color:#1f3f67;margin:34px 0 16px;\"\u003eOnboard Computer Options\u003c\/h2\u003e\n\u003cp\u003eLSR280 can be configured with the Jetson Orin Nano Super 8 GB or Orin NX Super 16 GB onboard computer. The Orin NX option provides higher AI compute capacity for perception and autonomous-navigation research. The following comparison covers the controller configurations offered with this platform.\u003c\/p\u003e\n\u003cdiv style=\"overflow-x:auto;-webkit-overflow-scrolling:touch;\"\u003e\u003ctable style=\"font-size:14.5px;line-height:1.45;width:100%;border-collapse:collapse;\"\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth style=\"background:#f5f7fa;border:1px solid #d8dde5;padding:9px;text-align:left;\"\u003eSpecification\u003c\/th\u003e\n\u003cth style=\"background:#f5f7fa;border:1px solid #d8dde5;padding:9px;text-align:left;\"\u003eOrin Nano Super 8GB\u003c\/th\u003e\n\u003cth style=\"background:#f5f7fa;border:1px solid #d8dde5;padding:9px;text-align:left;\"\u003eOrin NX Super 16GB\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eCPU\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e6-core Arm Cortex-A78AE v8.2, 1.5 MB L2 + 4 MB L3\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e8-core Arm Cortex-A78AE v8.2, 2 MB L2 + 4 MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eGPU\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e1024-core NVIDIA Ampere GPU, 32 Tensor Cores\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e1024-core NVIDIA Ampere GPU, 32 Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eAI performance\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e67 TOPS\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e157 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eMemory\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e8 GB 128-bit LPDDR5, 102 GB\/s\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e16 GB 128-bit LPDDR5, 102.4 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eUSB\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e3 × USB 3.0, 1 × USB 2.0, 1 × USB Type-C\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e3 × USB 3.0, 1 × USB 2.0, 1 × USB Type-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eCamera input\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eMIPI CSI\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eMIPI CSI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eDisplay output\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e1 × HDMI 2.0\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e1 × HDMI 2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eStorage\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e256 GB SSD\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e256 GB SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eNetworking\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eGigabit Ethernet (RJ45) \/ M.2 PCIe\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eGigabit Ethernet (RJ45) \/ M.2 PCIe\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003eGPIO\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e40 pins\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e40 pins\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003ePower modes\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e7 \/ 15 \/ 25 W\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e10 \/ 15 \/ 25 \/ 40 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003ePower input\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e9–19 V\u003c\/td\u003e\n\u003ctd style=\"border:1px solid #d8dde5;padding:9px;\"\u003e9–19 V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cstrong\u003eAutoware configuration:\u003c\/strong\u003e The outdoor Autoware development setup calls for the Orin NX 16 GB controller and a compatible 32-channel 3D LiDAR. The Orin Nano 8 GB option is intended for less demanding workflows and is not listed for full ROS 2 Autoware operation.\u003c\/p\u003e\n\u003ch2 style=\"font-size:24px;font-weight:700;color:#1f3f67;margin:34px 0 16px;\"\u003eROS, Mapping and Autonomous Navigation\u003c\/h2\u003e\n\u003cp\u003eLSR280 provides an SDK and ROS \/ ROS 2 integration for robotics research and application development. Mapping, localization, path planning and obstacle-avoidance workflows depend on the selected computer, sensors and software installation. An optional Autoware-oriented outdoor development setup uses a higher-compute controller and 3D LiDAR; the example configuration shown is an Orin NX 16 GB controller paired with a 32-channel LiDAR. The Orin Nano 8 GB option is described for other development tasks rather than full ROS 2 Autoware operation.\u003c\/p\u003e\n\u003ch2 style=\"font-size:24px;font-weight:700;color:#1f3f67;margin:34px 0 16px;\"\u003eAI, Vision and Voice Expansion\u003c\/h2\u003e\n\u003cp\u003eWith suitable cameras and computing hardware, the LSR280 can be used for object detection, person tracking and multimodal robotics experiments. Speech recognition, voice command handling and spoken feedback require compatible microphone and speaker hardware. Large-language-model workloads depend on the chosen model, computing resources and deployment software.\u003c\/p\u003e\n\u003ch2 style=\"font-size:24px;font-weight:700;color:#1f3f67;margin:34px 0 16px;\"\u003eWhich Configuration Should I Choose?\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eBasic ROS \/ motion-control development:\u003c\/strong\u003e start with the chassis, controller and sensing needed for driving and odometry experiments.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIndoor SLAM and navigation:\u003c\/strong\u003e add a suitable 2D LiDAR and navigation software configuration.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e3D perception and outdoor research:\u003c\/strong\u003e select a compatible 3D LiDAR and more capable onboard computer.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eVoice and embodied-AI demonstrations:\u003c\/strong\u003e include the microphone\/speaker module and suitable AI compute.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUnattended repeated experiments:\u003c\/strong\u003e add the optional automatic charging kit.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 style=\"font-size:24px;font-weight:700;color:#1f3f67;margin:34px 0 16px;\"\u003eApplications\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eRobotics and autonomous-navigation research\u003c\/li\u003e\n\u003cli\u003eEmbodied AI and multimodal interaction prototypes\u003c\/li\u003e\n\u003cli\u003eROS \/ ROS 2 mobile robot development and education\u003c\/li\u003e\n\u003cli\u003eFour-wheel-steering control and path planning\u003c\/li\u003e\n\u003cli\u003eIndoor inspection and material-transport prototypes\u003c\/li\u003e\n\u003cli\u003eMulti-sensor fusion and outdoor autonomy experimentation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\n\u003ch3\u003eTechnical Resources \u0026amp; ROS 2 Models\u003c\/h3\u003e\n\u003cp\u003eExplore our official GitHub resources for URDF models, 3D meshes, robot visualization, and ROS 2 integration.\u003c\/p\u003e\n\u003cul\u003e\n  \u003cli\u003e\u003ca href=\"https:\/\/github.com\/LucSys-Robotics\/technical-resources\/tree\/main\/platforms\/lucsys_lsr280_description\" target=\"_blank\" rel=\"noopener noreferrer\"\u003eLSR280 — ROS 2 Model\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eThese resources are provided for technical evaluation, simulation, and robot integration.\u003c\/p\u003e","brand":"LucSys Robotics","offers":[{"title":"Standard-Basic Package（Without ROS Computer\u0026Lidar\u0026Depth Camera）","offer_id":68178456510663,"sku":null,"price":7913.0,"currency_code":"SGD","in_stock":true},{"title":"Pro\u0026Orin Nano Super (8GB)","offer_id":68178456543431,"sku":null,"price":11120.0,"currency_code":"SGD","in_stock":true},{"title":"Pro\u0026Orin NX Super (16GB)","offer_id":68180565590215,"sku":null,"price":12932.0,"currency_code":"SGD","in_stock":true},{"title":"Ultra\u0026Orin Nano Super (8GB)","offer_id":68178456608967,"sku":null,"price":12516.0,"currency_code":"SGD","in_stock":true},{"title":"Ultra\u0026Orin NX Super (16GB)","offer_id":68180565622983,"sku":null,"price":14328.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0777\/8159\/8407\/files\/O1CN011UHmQ5VJLSI1chua__2211689764814_778ca90d-e11d-436d-8e4d-23ef302b5a8f.jpg?v=1793605650","url":"https:\/\/shop.lucsysrobotics.com\/products\/lsr280-four-wheel-steering-ros-robot","provider":"LucSys Robotics","version":"1.0","type":"link"}