{"id":132384,"date":"2026-09-04T11:41:11","date_gmt":"2026-09-04T11:41:11","guid":{"rendered":"https:\/\/www.seeedstudio.com\/blog\/?p=132384"},"modified":"2026-09-04T11:41:13","modified_gmt":"2026-09-04T11:41:13","slug":"rebot-arm-b601-rs-performance-durability-tests-payload-repeatability-teleoperation-and-gravity-compensation","status":"publish","type":"post","link":"https:\/\/www.seeedstudio.com\/blog\/2026\/09\/04\/rebot-arm-b601-rs-performance-durability-tests-payload-repeatability-teleoperation-and-gravity-compensation\/","title":{"rendered":"reBot Arm B601-RS Performance &amp; Durability Tests: Payload, Repeatability, Teleoperation and Gravity Compensation"},"content":{"rendered":"\n<p>Open-source robot arms are increasingly becoming an important platform for Physical AI, imitation learning, robotics research, and lightweight automation.<\/p>\n\n\n\n<p>But specifications alone do not determine whether a robot arm is ready for real-world development.<\/p>\n\n\n\n<p>For developers collecting hundreds or thousands of demonstrations, running repeated manipulation tasks, or building autonomous robotic systems, several questions matter just as much:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Can the arm follow high-speed teleoperation commands smoothly?<\/li>\n\n\n\n<li>Can it maintain stable motion under realistic payloads?<\/li>\n\n\n\n<li>Does positioning remain consistent after repeated operation?<\/li>\n\n\n\n<li>Can the mechanical structure withstand frequent interaction and handling?<\/li>\n\n\n\n<li>Does the control system provide the compliance required for physical AI applications?<\/li>\n<\/ul>\n\n\n\n<p>To evaluate these questions, Seeed Studio put the <strong><a href=\"https:\/\/www.seeedstudio.com\/reBot-Arm-B601-RS-Bundle-p-6898.html\">reBot Arm B601-RS<\/a><\/strong> through a series of performance and durability-oriented tests covering <strong>teleoperation, payload capability, repeatability, gravity compensation, and mechanical construction<\/strong>.<\/p>\n\n\n\n<p>The goal is straightforward: evaluate how the B601-RS performs beyond the specification sheet and under conditions closer to real robotics development.<\/p>\n\n\n\n<figure class=\"wp-block-embed aligncenter is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"6 DoF reBot RS Arm New Launch! Open Source, Precise, Physical AI Ready\" width=\"640\" height=\"360\" src=\"https:\/\/www.youtube.com\/embed\/Xjc4AAqztFM?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">High-Speed Teleoperation for Physical AI Data Collection<\/h2>\n\n\n\n<p>Teleoperation is becoming one of the most important workflows in Physical AI.<\/p>\n\n\n\n<p>Frameworks such as <strong>LeRobot<\/strong> use human demonstrations to collect manipulation trajectories that can later be used to train imitation-learning and robot-learning policies. In these workflows, teleoperation latency and motion quality directly affect the quality of the collected dataset.<\/p>\n\n\n\n<p>The reBot Arm B601-RS supports leader-follower teleoperation through CAN communication.<\/p>\n\n\n\n<p>For the test setup, the B601-RS follower arm was paired with a <strong><a href=\"https:\/\/www.seeedstudio.com\/Star-Arm-102-p-6765.html\">StarArm 102-L leader arm<\/a><\/strong>, using:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>CAN bus communication at 1 Mbps<\/li>\n\n\n\n<li>MIT motor control mode<\/li>\n\n\n\n<li>125 Hz control update rate<\/li>\n\n\n\n<li>Position, velocity, acceleration, and jerk constraints<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/seeedstudio.feishu.cn\/space\/api\/box\/stream\/download\/asynccode\/?code=OTdiMWEwOTRhYWJkOWM3M2E1ZDM3NzA1ZmI1ZjQ5YTlfZVpZYVRrOExzbURwaURRM1N2THlYQTF0aVNVTzZiYkNfVG9rZW46VE5QZWJsTFN0b0pFT3R4WGNramMxbkQ1blNkXzE3ODg1MjEyNTc6MTc4ODUyNDg1N19WNA&amp;add_watermark=true&amp;scene_type=CCM\" alt=\"\"\/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Test Result<\/h3>\n\n\n\n<p>During fast sweeps, slow positioning movements, and rapid direction changes, the follower arm maintained responsive tracking of the leader arm without obvious oscillation or overshoot.<\/p>\n\n\n\n<p>The control performance is supported by the B601-RS actuator architecture, which combines:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>4 \u00d7 <a href=\"https:\/\/www.seeedstudio.com\/Robostride-00-Actuator-p-6664.html\">RobStride RS-00<\/a> motors<\/li>\n\n\n\n<li>3 \u00d7 <a href=\"https:\/\/www.seeedstudio.com\/Robostride-06-Actuator-p-6668.html\">RobStride RS-06<\/a> motors<\/li>\n\n\n\n<li>Quasi-direct-drive actuator design<\/li>\n\n\n\n<li>High-torque output with low mechanical resistance<\/li>\n<\/ul>\n\n\n\n<p>This configuration helps provide smoother motion than conventional high-ratio geared architectures while maintaining the torque required for manipulation tasks.<\/p>\n\n\n\n<p>The gripper additionally supports impedance-based control, allowing grasping force to be constrained during interaction with objects.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Why It Matters<\/h3>\n\n\n\n<p>Responsive teleoperation is not only about making the robot easier to control.<\/p>\n\n\n\n<p>For Physical AI developers, smoother leader-follower behavior can contribute to cleaner demonstration trajectories and more consistent training data.<\/p>\n\n\n\n<p>The B601-RS software stack is designed to integrate with the broader robot-learning workflow, including:<\/p>\n\n\n\n<p><strong>Teleoperation \u2192 Data Recording \u2192 Policy Training \u2192 Deployment<\/strong><\/p>\n\n\n\n<p>LeRobot integration supports both single-arm and bimanual configurations, making the platform suitable for manipulation dataset collection and physical AI experimentation.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Payload Test: Evaluating Motion Under Real Loads<\/h2>\n\n\n\n<p>Payload capacity is another important difference between a robot designed primarily for demonstration and one intended for practical manipulation.<\/p>\n\n\n\n<p>The reBot Arm B601-RS is designed for a <strong>2.5 kg rated payload<\/strong>.<\/p>\n\n\n\n<p>To evaluate its behavior under increasing load, the arm was tested with multiple payload levels attached to the end effector while performing continuous motion trajectories across approximately 70% of its working reach.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/seeedstudio.feishu.cn\/space\/api\/box\/stream\/download\/asynccode\/?code=MWJhNjNlYzRmOTE4MTgxMDFmZWRmZTgwZTgzMWYxOWVfU01vZ1N4WFZIN3hEckpjR2NGR0NHSmd2d2k5NndoQlhfVG9rZW46VmszMGI2cHlVb1dGWnp4Q1E4VGNCVnBNbm1kXzE3ODg1MjEyNTc6MTc4ODUyNDg1N19WNA&amp;add_watermark=true&amp;scene_type=CCM\" alt=\"\"\/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Payload Test Results<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td>Payload<\/td><td>Observed Performance<\/td><td>Example Applications<\/td><\/tr><tr><td>1 kg<\/td><td>Smooth continuous motion<\/td><td>Education, research, lightweight pick-and-place<\/td><\/tr><tr><td>2 kg<\/td><td>Stable motion without visible jitter or position loss<\/td><td>Parts handling, lab automation, electronics<\/td><\/tr><tr><td>2.5 kg<\/td><td>Stable operation at the rated payload<\/td><td>General manipulation and automation<\/td><\/tr><tr><td>5 kg<\/td><td>Completed short-duration test motions<\/td><td>Temporary or experimental higher-load operation<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>The 5 kg test was conducted as a <strong>short-duration validation above the rated <\/strong><strong>payload<\/strong>, rather than a recommended continuous operating condition.<\/p>\n\n\n\n<p>For applications requiring long-duration operation, payload selection should remain within the rated operating envelope and should also take reach, acceleration, end-effector weight, and task trajectory into consideration.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Why It Matters<\/h3>\n\n\n\n<p>A 2.5 kg rated payload expands the range of applications possible with an open-source robot arm.<\/p>\n\n\n\n<p>Potential workloads include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Component and parts transfer<\/li>\n\n\n\n<li>Electronics handling<\/li>\n\n\n\n<li>Laboratory automation<\/li>\n\n\n\n<li>3D printer unloading<\/li>\n\n\n\n<li>Vision-guided pick-and-place<\/li>\n\n\n\n<li>Physical AI manipulation experiments<\/li>\n<\/ul>\n\n\n\n<p>Payload capability becomes particularly important when cameras, grippers, force sensors, or customized end effectors must also be mounted on the arm.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Repeatability Test: Maintaining Position Across Repeated Cycles<\/h2>\n\n\n\n<p>Payload determines what a robot can move.<\/p>\n\n\n\n<p>Repeatability determines whether it can reliably return to the same location.<\/p>\n\n\n\n<p>The reBot Arm B601-RS is specified with repeatability of <strong>\u00b10.1 mm<\/strong>.<\/p>\n\n\n\n<p>To evaluate positioning consistency, the arm was programmed to repeatedly return to the same target position over hundreds of motion cycles, with the end-effector position monitored using a laser displacement measurement setup.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/seeedstudio.feishu.cn\/space\/api\/box\/stream\/download\/asynccode\/?code=NDI5OTE2Zjk3NDZmMzRjZTJjNDg0NGE1NTkwNzAwMjVfc2RPdGxZbW9WaGJOS0I3MmRVenQ1bzc3d0pyakU4UGNfVG9rZW46STc5V2J4UDZubzZNZ1B4ak9QQ2N2cUM4bmloXzE3ODg1MjEzMDU6MTc4ODUyNDkwNV9WNA&amp;add_watermark=true&amp;scene_type=CCM\" alt=\"\"\/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Test Result<\/h3>\n\n\n\n<p>Across repeated motion cycles, the B601-RS maintained positioning consistency within the expected repeatability range, without significant observable drift during the test period.<\/p>\n\n\n\n<p>This is especially important for robotics applications that combine mechanical repeatability with machine vision.<\/p>\n\n\n\n<p>A typical autonomous manipulation pipeline can include:<\/p>\n\n\n\n<p><strong>Object Detection \u2192 Pose Estimation \u2192 Hand-Eye Calibration \u2192 Robot Motion \u2192 Grasping<\/strong><\/p>\n\n\n\n<p>When combined with vision models such as YOLO, oriented bounding-box detection, and calibrated camera-to-robot coordinates, mechanical repeatability provides a stable foundation for more precise manipulation.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Applications That Benefit From Repeatability<\/h3>\n\n\n\n<p>Examples include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Camera and sensor positioning<\/li>\n\n\n\n<li>Electronics assembly research<\/li>\n\n\n\n<li>Precision dispensing experiments<\/li>\n\n\n\n<li>Vision-guided grasping<\/li>\n\n\n\n<li>Repeated laboratory workflows<\/li>\n\n\n\n<li>Robot learning evaluation<\/li>\n<\/ul>\n\n\n\n<p>For Physical AI researchers, repeatability also helps reduce hardware-induced variation when comparing different policies or datasets.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Gravity Compensation: More Than a Demonstration Feature<\/h2>\n\n\n\n<p>Gravity compensation is one of the most visible capabilities of the B601-RS.<\/p>\n\n\n\n<p>When enabled, the control system compensates for gravitational torque at each joint, allowing the arm to be repositioned manually with substantially reduced effort.<\/p>\n\n\n\n<p>The B601-RS uses the <strong>Pinocchio rigid-body dynamics library<\/strong> to calculate gravitational torque and apply joint-level compensation in real time.<\/p>\n\n\n\n<p>Two gravity-compensation modes are available, including a basic mode and an end-effector velocity-constrained mode.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/seeedstudio.feishu.cn\/space\/api\/box\/stream\/download\/asynccode\/?code=NmFjMDgyNTU2NzA3MjhkZTliZTU1ZTliYzIyMzQ5MmZfNHMxR3o2cFd2NUhySHcwTTd5VDA2Z2tENlNwbXg3REhfVG9rZW46S0hmdGI3M1Bab1piOHl4a3I5S2Nqd3hKbnNoXzE3ODg1MjEzMDU6MTc4ODUyNDkwNV9WNA&amp;add_watermark=true&amp;scene_type=CCM\" alt=\"\"\/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Why Gravity Compensation Matters<\/h3>\n\n\n\n<p>Gravity compensation provides several practical benefits beyond manually moving the arm.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Safer Development<\/h4>\n\n\n\n<p>During debugging, calibration, and interaction with the robot, gravity compensation can reduce uncontrolled movement caused by the arm&#8217;s own weight.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Foundation for Compliant Control<\/h4>\n\n\n\n<p>Gravity compensation is an important building block for:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Impedance control<\/li>\n\n\n\n<li>Force control<\/li>\n\n\n\n<li>Compliant manipulation<\/li>\n\n\n\n<li>Human-robot interaction<\/li>\n<\/ul>\n\n\n\n<p>Removing the gravitational component from joint torque allows higher-level controllers to focus more directly on external interaction forces.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Easier Manual Teaching<\/h4>\n\n\n\n<p>For demonstration collection and manual robot teaching, reducing the physical effort required to move the arm can improve operator comfort during long data-collection sessions.<\/p>\n\n\n\n<p>This becomes increasingly relevant as Physical AI datasets grow from dozens of demonstrations to hundreds or thousands of trajectories.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Mechanical Durability: Designed for Repeated Robotics Development<\/h2>\n\n\n\n<p>Robot development often involves more physical interaction than conventional automation.<\/p>\n\n\n\n<p>Developers reposition arms manually, change end effectors, adjust sensors, perform calibration, recover from failed policies, and repeatedly reconfigure experimental setups.<\/p>\n\n\n\n<p>Mechanical construction therefore becomes an important part of long-term usability.<\/p>\n\n\n\n<p>The B601-RS introduces several structural and manufacturing improvements designed to increase rigidity, reliability, and durability.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/seeedstudio.feishu.cn\/space\/api\/box\/stream\/download\/asynccode\/?code=OWIwMjc3N2ViNzEwMmEyNGE4OWNiMzFjNGMxYmVmOGNfdXI3SFpoM2x3Vktnank5WnY2WXd2RGhGaGNTWjR1S3dfVG9rZW46VVVNWmI4NFJVb0h5Nkd4T2xZQmMwQmRDbjZiXzE3ODg1MjEzMDU6MTc4ODUyNDkwNV9WNA&amp;add_watermark=true&amp;scene_type=CCM\" alt=\"\"\/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">All-Metal Structural Design<\/h3>\n\n\n\n<p>The arm uses an all-metal construction with geometric lightweighting features designed to balance structural rigidity and mass.<\/p>\n\n\n\n<p>Load-bearing sections and joint regions have been reinforced where additional stiffness is required.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Improved Mechanical Finishing<\/h3>\n\n\n\n<p>Several smaller design details also contribute to long-term usability:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Chamfered structural edges<\/li>\n\n\n\n<li>Laser-etched markings<\/li>\n\n\n\n<li>Metal covers for exposed fasteners<\/li>\n\n\n\n<li>Customized internal wiring harness<\/li>\n\n\n\n<li>Improved cable routing<\/li>\n\n\n\n<li>Reinforced load-bearing joints<\/li>\n<\/ul>\n\n\n\n<p>These details may not directly appear in a payload specification, but they matter on a robot that will be frequently handled, reconfigured, and transported between development environments.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Actuator Robustness<\/h3>\n\n\n\n<p>The RobStride quasi-direct-drive motors used in the B601-RS provide high torque density together with overload capability suitable for dynamic robotic motion.<\/p>\n\n\n\n<p>Combined with updated structural design and servo tuning, the B601-RS has also been optimized to reduce vibration compared with the previous reBot actuator configuration.<\/p>\n\n\n\n<p>For robot-learning applications, lower vibration benefits not only mechanical stability but also onboard sensing and camera-based perception.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">From Robot Arm to Physical AI Development Platform<\/h2>\n\n\n\n<p>The purpose of these tests is not simply to determine how much weight the B601-RS can lift.<\/p>\n\n\n\n<p>The broader objective is to validate whether an open-source robot arm can provide the combination of <strong>mechanical performance, control responsiveness, repeatability, and software accessibility<\/strong> required for modern robotics development.<\/p>\n\n\n\n<p>The B601-RS is designed for several groups of developers.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Physical AI and Robot Learning Researchers<\/h3>\n\n\n\n<p>Low-latency teleoperation, LeRobot integration, and support for data collection make the platform suitable for imitation learning and manipulation-policy research.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Universities and Research Laboratories<\/h3>\n\n\n\n<p>Its combination of payload capability, repeatability, ROS support, and open hardware makes it suitable for robotics education as well as advanced research.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Startups and Automation Developers<\/h3>\n\n\n\n<p>The 2.5 kg rated payload enables the arm to move beyond simple desktop demonstrations toward lightweight automation and prototype production workflows.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Robotics Developers and Makers<\/h3>\n\n\n\n<p>Because the platform is open source, developers can modify hardware, controllers, end effectors, and software instead of being limited to a closed ecosystem.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Why Open Source Matters<\/h2>\n\n\n\n<p>Performance is only one part of the reBot platform.<\/p>\n\n\n\n<p>The B601-RS is designed around an open robotics ecosystem, including:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Open-source hardware<\/li>\n\n\n\n<li>CERN-OHL-W 2.0 hardware license<\/li>\n\n\n\n<li>Full BOM<\/li>\n\n\n\n<li>Python SDK<\/li>\n\n\n\n<li>ROS 1 \/ ROS 2 support<\/li>\n\n\n\n<li>LeRobot integration<\/li>\n\n\n\n<li>Isaac Sim simulation platform<\/li>\n\n\n\n<li>Accessible motor-level control<\/li>\n\n\n\n<li>Customizable end effectors and accessories<\/li>\n<\/ul>\n\n\n\n<p>This gives developers access not only to the robot&#8217;s APIs, but also to the underlying system architecture required to understand, modify, and extend the platform.<\/p>\n\n\n\n<p>For physical AI research, this openness is particularly important.<\/p>\n\n\n\n<p>Robot learning is evolving rapidly, and researchers increasingly need hardware that can evolve alongside new models, control methods, sensors, and training frameworks.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">reBot Arm B601-RS Specifications<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td>Specification<\/td><td>reBot Arm B601-RS<\/td><\/tr><tr><td>Rated Payload<\/td><td>2.5 kg<\/td><\/tr><tr><td>Repeatability<\/td><td>\u00b10.1 mm<\/td><\/tr><tr><td>Degrees of Freedom<\/td><td>6+1<\/td><\/tr><tr><td>Control Update Rate<\/td><td>125 Hz<\/td><\/tr><tr><td>Communication<\/td><td>CAN bus, 1 Mbps<\/td><\/tr><tr><td>Actuators<\/td><td>4 \u00d7 RobStride RS-00 + 3 \u00d7 RS-06<\/td><\/tr><tr><td>Control<\/td><td>MIT control \/ impedance control support<\/td><\/tr><tr><td>Software<\/td><td>Python SDK, ROS 1\/2, LeRobot,MuJoCo, Pinocchio,Isaac Sim simulation platform<\/td><\/tr><tr><td>Hardware License<\/td><td>CERN-OHL-W 2.0<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Building Reliable Hardware for Physical AI<\/h2>\n\n\n\n<p>As Physical AI moves from simulation into the physical world, robot hardware needs to meet a different set of requirements.<\/p>\n\n\n\n<p>Payload and repeatability still matter, but so do teleoperation responsiveness, compliance, maintainability, software openness, and the ability to withstand repeated experimentation.<\/p>\n\n\n\n<p>The performance validation of the <strong>reBot <\/strong><strong>Arm<\/strong><strong> B601-RS<\/strong> reflects this philosophy.<\/p>\n\n\n\n<p>Rather than positioning the arm only as a desktop robot, Seeed Studio is developing reBot as an <strong>open-source physical AI platform<\/strong> that developers can use across teleoperation, data collection, robot learning, autonomous manipulation, and lightweight automation.<\/p>\n\n\n\n<p>For developers building the next generation of physical AI applications, reliable and accessible robotic hardware is where those models finally meet the real world.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Explore reBot Arm B601-RS<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>reBot <\/strong><strong>Arm<\/strong><strong> B601-RS:<\/strong> Seeed Studio product page<\/li>\n\n\n\n<li><strong>GitHub<\/strong><strong>:<\/strong> reBot-DevArm<\/li>\n\n\n\n<li><strong>Documentation:<\/strong> Seeed Studio Robotics Wiki<\/li>\n\n\n\n<li><strong>LeRobot Integration:<\/strong> Seeed B601 Teleoperator Repository<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">FAQ<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">What is the payload of the reBot Arm B601-RS?<\/h3>\n\n\n\n<p>The reBot Arm B601-RS is designed with a rated payload of 2.5 kg. Actual allowable payload also depends on reach, end-effector weight, acceleration, and task trajectory.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">What is the repeatability of the reBot Arm B601-RS?<\/h3>\n\n\n\n<p>The B601-RS is specified for \u00b10.1 mm repeatability, making it suitable for research, vision-guided manipulation, and lightweight automation applications.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Does the reBot Arm B601-RS support LeRobot?<\/h3>\n\n\n\n<p>Yes. The reBot ecosystem supports LeRobot-based workflows including teleoperation, demonstration recording, policy training, and deployment.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Does the B601-RS support gravity compensation?<\/h3>\n\n\n\n<p>Yes. Gravity compensation is available for manual teaching, compliant control development, and physical human-robot interaction workflows.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Is the reBot Arm B601-RS open source?<\/h3>\n\n\n\n<p>Yes. The reBot platform includes open-source hardware and software resources, with the hardware released under the CERN-OHL-W 2.0 license.<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Open-source robot arms are increasingly becoming an important platform for Physical AI, imitation learning, robotics<\/p>\n","protected":false},"author":3705,"featured_media":132439,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_lmt_disableupdate":"","_lmt_disable":"","_price":"","_stock":"","_tribe_ticket_header":"","_tribe_default_ticket_provider":"","_tribe_ticket_capacity":"0","_ticket_start_date":"","_ticket_end_date":"","_tribe_ticket_show_description":"","_tribe_ticket_show_not_going":false,"_tribe_ticket_use_global_stock":"","_tribe_ticket_global_stock_level":"","_global_stock_mode":"","_global_stock_cap":"","_tribe_rsvp_for_event":"","_tribe_ticket_going_count":"","_tribe_ticket_not_going_count":"","_tribe_tickets_list":"[]","_tribe_ticket_has_attendee_info_fields":false,"iawp_total_views":0,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-132384","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>reBot Arm B601-RS Performance &amp; 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