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cs.RO2026
Catch, Throw, Repeat: Planning for Human-Robot Partner Juggling
Jonathan Rainer Lippert, Kai Ploeger, Abir Chowdhury +3
Dynamic object exchange between humans and robots remains a challenging problem due to uncertainty in perception, timing, and contact-rich interaction. Human-robot juggling represe…
cs.RO2026
Task-Error Residual Learning for Real-Robot Five-Ball Juggling
Kai Ploeger, Jan Peters
For residual learning that refines existing behavior, sample efficiency depends on two things: how much information each rollout returns, and how efficiently the learner uses that…