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PHYSICAL EMBODIED INTELLIGENCE FOR NEXT-GENERATION SMART EXOSKELETONS

Objective

"PHYS-EXO proposes a new generation of Embodied Physical AI exoskeletons that move beyond today’s reactive, context-blind wearable robots toward situationally aware, proactive, and human-centric physical assistants. Current industrial and rescue exoskeletons largely rely on posture or motion signals, lacking a real understanding of surrounding hazards, tasks, and spatial context. This limits their effectiveness in safety-critical, unstructured environments where perception, reasoning, and seamless human–AI collaboration are essential.
PHYS-EXO introduces a modular Agentic AI-ready Physical AI pipeline—including Perception, Semantic Mapping (SLAM), Risk Reasoning, Task Planning, and Human-centric Control—embedded in a wearable platform operating in real time and on the edge. The system integrates egocentric multimodal perception, 3D environment reconstruction, task planning and reasoning, and adaptive user-centric control to provide context-aware physical assistance, risk-aware navigation support, and explainable decision guidance to the user.
The project targets two high-impact application areas: (1) ""Disaster response and civil security, through an Urban Search and Rescue"" scenario in a simulated collapsed building, and (2) ""Industrial manual handling"" in a dynamic factory environment with moving robots, restricted zones, and heavy lifting tasks. In both cases, PHYS-EXO aims to reduce physical strain, improve safety, enhance situational awareness, and increase user trust and operational effectiveness.
During Phase 1, PHYS-EXO will extend the existing (TRL 4) SUPSI-IDSIA vision-enabled active back-support exoskeleton with egocentric depth perception, preliminary semantic SLAM, a first-generation AI reasoning layer, and an integrated perception–control loop, reaching TRL 5 through validation in the two above-described relevant environments. Clear KPIs will assess perception accuracy, safe planning, ergonomic benefits, rescue effectiveness, and industrial productivity."

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(opens in new window) HORIZON-EIC-2026-AIC

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Coordinator

SCUOLA UNIVERSITARIA PROFESSIONALE DELLA SVIZZERA ITALIANA
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 300 000,00
Address
STABILE LE GERRE
6928 MANNO
Switzerland

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Region
Schweiz/Suisse/Svizzera Ticino Ticino
Activity type
Higher or Secondary Education Establishments
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Total cost

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