Earm, an embodied robotic arm that integrates rigid kinematics with large-area soft tactile skins, proprioceptive sensing and a closed-loop perception–action framework is presented, establishing a scalable route towards physically intelligent robots capable of safe, adaptive and intuitive operation in unstructured environments.
Touch links perception to control by turning contact into actionable force. It provides pressure and friction cues that help robots regulate grip and execute precise manipulation, especially in unstructured environments. As robots move into open, real‐world settings, rigid tactile sensors struggle with surface conformi...
This review surveys the full VBTS pipeline and treats sensing hardware, learning methods, simulation, and datasets as an integrated sensing-and-learning system to advance tactile intelligence for contact-rich robotic tasks.
Peng Zhou, Jun Hu, Si-Han Chen et al.· 2 citations
A Unified Visual-Tactile-Action Model is proposed that maps both embodiments into aligned tactile and action representations and jointly predicts future action and tactile trajectories and achieves an average success rate of 70%, outperforming the strongest visual-tactile baseline, which achieves 29%, and an architectu...
Wen-Qiao Li, Qian-You Zhao, Jia-Wen Hao et al.· 0 citations
Learning predictive models of contact-rich dexterous manipulation requires dense tactile interaction, but such data are costly to scale on real robots and remain tied to embodiment-specific sensors. We introduce DexTouch-WM, an action-conditioned world model that learns from scalable human touch to jointly predict futu...
Yan-Jiao Qin, Yue Chen, Wen-Wei Lin et al.· 2 citations
Aerial robots are widely employed for exploration, inspection, and environmental monitoring, where their agility and maneuverability are strong assets. However, their endurance remains limited, inhibiting their applicability in long-term missions. Perching, the ability to attach to environmental structures and rest wit...
Anton Bredenbeck, Anish Jadoenathmisier, Salua Hamaza· npj Robotics· 1 citation
Enabling robots to assess physical suitability through contact, termed here Embodied Understanding, remains an open challenge because current vision-based models lack the tactile feedback necessary to perceive real physical properties. However, mainstream Visual-Language Models suffer from disembodiment. Without tactil...
Herong Wang, Lin Fan, Yong Tian et al.· International Conference on...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.