ASU IRIS Lab recruiting fully funded PhD students for Fall 2027 in contact-rich dexterity
YuXiang_IRVL · x · 2026-11-14
The Intelligent Robotics and Interactive Systems (IRIS) Lab at Arizona State University is recruiting multiple fully funded PhD students for Fall 2027, applying through ASU's ME or EE programs with Wanxin Jin listed as potential advisor ([email protected]).
Research directions: scalable multiphysics engines and data generation, generative robot learning (generative policies, world models, representation learning), and agentic robotics.
Lab highlights:
- ComFree-Sim: a complementarity-free contact physics engine with over 5× higher throughput than MuJoCo Warp in dense-contact benchmarks
- Online 100 Hz predictive control that plans contact-rich manipulation and locomotion actions
- Embedding contact-physics structure into learning cuts data needs by over 10×, enabling zero-shot sim2real or hardware learning within minutes
Desired background: robotics (FK/IK, dynamics, planning/control, hardware), AI/ML (RL, generative models, agents), simulation (MuJoCo, Isaac, NVIDIA Warp). The lab is supported by two NSF awards and one ABRC project.
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