8 papers
Virtual model control for compliant reaching under uncertainties
Yi Zhang, Daniel Larby, Fumiya Iida +1
Virtual Model Control (VMC) is an approach to design a controller for force-controlled robots in complex uncertain environments. While this method was primarily investigated for le…
GeoTrussRover: Morphological Computation with Contact-Semantic Control Primitives
Muyuan Ma, Yi Zhang, Yang Yang +12
Reconfigurable robots can change their contact geometry when a fixed body cannot negotiate an obstacle. A variable-geometry truss (VGT) distributes this shape change through a load…
MuJoCable: Reduced-Order Surface-Routed Cable Transmission for Tendon-Driven Robots
Yi Zhang, Qi Shao, Yicong Lin +3
Tendon transmissions reduce distal inertia and add compliance, yet routing, slack, and friction govern motion and force transfer. Mainstream rigid-body robotics simulators such as…
Passive iFIR filters for data-driven velocity control in robotics
Yi Zhang, Zixing Wang, Fulvio Forni
We present a passive, data-driven velocity control method for nonlinear robotic manipulators that achieves better tracking performance than optimized PID with comparable design com…
Distributed Virtual Model Control for Scalable Human-Robot Collaboration in Shared Workspace
Yi Zhang, Omar Faris, Chapa Sirithunge +3
We present a decentralized, agent agnostic, and safety-aware control framework for human-robot collaboration based on Virtual Model Control (VMC). In our approach, both humans and…
Co-design is powerful and not free
Yi Zhang, Yue Xie, Tao Sun +1
Robotic performance emerges from the coupling of body and controller, yet it remains unclear when morphology-control co-design is necessary. We present a unified framework that emb…
Periodic robust robotic rock chop via virtual model control
Yi Zhang, Fumiya Iida, Fulvio Forni
Robotic cutting is a challenging, contact-rich manipulation task where the robot must simultaneously negotiate unknown object mechanics, large contact forces, and precise motion re…
Dissipative iFIR filters for data-driven design
Zixing Wang, Yi Zhang, Fulvio Forni
We tackle the problem of providing closed-loop stability guarantees with a scalable data-driven design. We combine virtual reference feedback tuning with dissipativity constraints…