REBot uses two reinforcement-learned policies in a finite-state machine so a quadruped can dodge fast-moving obstacles and stabilize itself afterward.
Learning vision-guided quadrupedal locomotion end-to-end with cross-modal transformers,
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REBot: Reflexive Evasion Robot for Instantaneous Dynamic Obstacle Avoidance
REBot uses two reinforcement-learned policies in a finite-state machine so a quadruped can dodge fast-moving obstacles and stabilize itself afterward.