6 papers · 1 filter
It's Not Just More Demos: Counterfactual Action Sensitivity Coverage for Data-Efficient Robust Robot Imitation
Giovanni D'urso, Kaushik Roy, Nicholas Lawrance +1
Visuomotor imitation learning has demonstrated success for manipulation tasks. However, the trained policies remain brittle to visual `nuisances', with even minor task-preserving v…
MobiGuide: Vocabulary-Guided Online Recovery for Mobile Manipulation
Jia Syuen Lim, Zhizhen Zhang, Peter Bohm +3
A central challenge in mobile manipulation is preserving multiple plausible action modes while remaining reactive during execution. For example, grasping a bottle in a cluttered sc…
RAPT: Model-Predictive Out-of-Distribution Detection and Failure Diagnosis for Sim-to-Real Humanoid Deployment
Humphrey Munn, Brendan Tidd, Peter Bohm +2
Deploying learned control policies is risky because policies that appear robust in simulation can confidently enter out-of-distribution (OOD) states after Sim-to-Real transfer, cau…
Scalable Multi-Objective Robot Reinforcement Learning through Gradient Conflict Resolution
Humphrey Munn, Brendan Tidd, Peter Böhm +2
Reinforcement Learning (RL) robot controllers usually aggregate many task objectives into one scalar reward. While large-scale proximal policy optimisation (PPO) has enabled impres…
Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations
Yifei Chen, Yuzhe Zhang, Giovanni D'urso +2
Recent developments in imitation learning have considerably advanced robotic manipulation. However, current techniques in imitation learning can suffer from poor generalization, li…
Whole-Body Dynamic Throwing with Legged Manipulators
Humphrey Munn, Brendan Tidd, Peter Böhm +2
Throwing with a legged robot involves precise coordination of object manipulation and locomotion - crucial for advanced real-world interactions. Most research focuses on either man…