Tactile-Proprioceptive Sensor Fusion for Contact Wrench Estimation in Whole-Body Physical Human-Robot Interaction
arXiv:2605.28412v1 Announce Type: cross Abstract: Direct physical guidance is a natural means of teaching and interacting with robots, and robotic skins make a key contribution by enabling sensitive contact sensing and localization. This paper presents a tactile-proprioceptive sensor fusion framework for natural physical human-robot interaction. Tactile cues from pneumatic skin pads serve as contact indicators that bypass the ambiguity between frictional residues and applied external forces, enabling highly sensitive contact detection without explicit friction identification. We fuse these cue
The increasing sophistication of robotic hardware and AI models requires advanced sensor fusion techniques to enable more natural and safe human-robot interaction, pushing innovation in tactile sensing.
Improved tactile sensing and human-robot interaction are crucial for the practical deployment of advanced robotic systems in various real-world scenarios, from manufacturing to personal assistance.
This development allows robots to interpret physical contact with humans more accurately, distinguishing between intentional interaction and incidental friction, leading to safer and more intuitive collaboration.
- · Robotics manufacturers
- · Automation industry
- · HRI research community
- · AI/ML developers
- · Companies relying on less sophisticated HRI
- · Sectors with high-risk human-robot interaction
Robots will be able to perform physically assistive tasks with greater safety and precision.
Widespread adoption of robots in sensitive environments, such as elder care or surgical assistance, becomes more feasible.
New legal and ethical frameworks will emerge to govern increasingly intimate physical human-robot interactions.
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