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About this paper
Brian Acosta, Michael Posa
Researchers developed an integrated perception and control framework for underactuated bipedal robots, combining a real-time Mixed-Integer Quadratic Program (MIQP) based footstep controller with a novel, temporally consistent terrain perception pipeline. The system enabled the Cassie biped to dynamically traverse discontinuous terrains like brick steps and grassy hills, achieving mean MIQP solve times of 2.2 ms at over 100 Hz and demonstrating robust, continuous perceptive locomotion.
Key insights
- Real-time dynamic walking on rough terrain by underactuated bipeds is achievable through the tight integration of high-frequency Mixed-Integer Quadratic Program (MIQP) based footstep planning and low-level dynamic control.
- Temporal consistency in terrain perception, rather than strict geometric fidelity, is paramount for stable online footstep planning, significantly improving robustness compared to traditional plane segmentation.
- Optimizing a broad set of variables, including discrete foothold choices, continuous footstep positions, center of mass trajectory, ankle torque, and gait timing, within a single MIQP allows for highly adaptive locomotion over discontinuous terrain.
Summary by alphaXiv.
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