arXiv:2606.14270v1 Announce Type: cross Abstract: Fall recovery is critical for autonomous legged locomotion. Existing methods have demonstrated that some legged robots, such as humanoids and quadrupeds, are capable of fall recovery from diverse postures by utilizing arms or coordinating multi-legs to generate support forces. Without arms or other legs to provide supportive assistance, a bipedal-wheeled robot must rely solely on the actuation of its legs, making recovery particularly difficult. To address this, we introduce FTSR (Force-guided Teacher-student framework with Stage-wise Rewards).
The continuous advancements in AI and robotics, coupled with increasing demand for robust autonomous systems, drive research into more resilient robotic designs and control methods.
Improving robot fall recovery capabilities is crucial for practical, widespread deployment of bipedal robots in unstructured and dynamic environments, enhancing their utility and reliability.
This research introduces a novel framework for fall recovery in physically constrained bipedal-wheeled robots, potentially expanding the operational envelope for mobile robots without arms.
- · Robotics researchers
- · Logistics and industrial sectors (for robot deployment)
- · Robot manufacturers
Bipedal-wheeled robots become significantly more reliable in challenging terrains.
Increased adoption of such robots in warehouses, factories, and potentially public spaces due to enhanced safety and operational continuity.
Reduced need for human intervention in managing robot failures, leading to further automation and efficiency gains across various industries.
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Read at arXiv cs.AI