an adaptive, robust, asymptotically stable, (sub)optimal controller in search of itself
DRCL@USC | MCG@ MIT | MGCG@MPI-IS | SRL@IISclok-i.github.io/website/ Los Angeles, California, USJoined July 2020
Our work "Preferenced Oracle Guided Multi-mode Policies for Bipedal Loco-Manipulation" is accepted at IROS 2025 & Whole-body Control and Bimanual Manipulation workshop at RSS!
Catch us at the poster session - Wed, 10:40 am @USC#RSS2025
Our work "Preferenced Oracle Guided Multi-mode Policies for Bipedal Loco-Manipulation" is accepted at IROS 2025 & Whole-body Control and Bimanual Manipulation workshop at RSS!
Catch us at the poster session - Wed, 10:40 am @USC#RSS2025
Isaac Lab codebase for Oracle Guided Multi-mode Policies with Mode-Preference is now open!
Check it out here: github.com/DRCL-USC/ogmp_…
Try our policies with Unitree G1, H1, or Berkeley Humanoid!
Isaac Lab codebase for Oracle Guided Multi-mode Policies with Mode-Preference is now open!
Check it out here: github.com/DRCL-USC/ogmp_…
Try our policies with Unitree G1, H1, or Berkeley Humanoid!
Check out our work on dynamic loco-manipulation with OGMP: across tasks and robots using the same oracle, hyperparameters, and reward weights. Key ideas:
1. Coarse oracles as hybrid automata for bounded exploration.
2. Task-agnostic preference reward for desired mode transitions.
Check out our work on dynamic loco-manipulation with OGMP: across tasks and robots using the same oracle, hyperparameters, and reward weights. Key ideas:
1. Coarse oracles as hybrid automata for bounded exploration.
2. Task-agnostic preference reward for desired mode transitions.
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