HANDOFF Enables Humanoids for Long-Horizon Tasks
micoolcho · x · 2026-07-15
This discusses how humanoid robots can perform long-horizon, multi-step tasks in the real world, such as organizing groceries or cleaning rooms.
The core focus is HANDOFF:
- It utilizes a 10-dimensional learned whole-body controller to translate actions into whole-body movements.
- It pairs this with a VLM-driven agentic planner to execute complex, multi-step operations.
- It also covers deploying the controller in real-world environments, using controlled barrier functions and safety functions to ensure safer movement and operation in crowds and dynamic settings.
The overarching goal is enabling humanoid robots to not just move, but to stably and safely complete complex manipulation tasks in real-world scenarios.
Related event: HANDOFF Enables Long-Horizon Humanoid Robot Manipulation(4 posts)→
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