2 papers
cs.RO2025
Splatting Physical Scenes: End-to-End Real-to-Sim from Imperfect Robot Data
Ben Moran, Mauro Comi, Arunkumar Byravan +4
Creating accurate, physical simulations directly from real-world robot motion holds great value for safe, scalable, and affordable robot learning, yet remains exceptionally challen…
cs.RO2025
Motion planning for highly-dynamic unconditioned reflexes based on chained Signed Distance Functions
Ken Lin, Qi Ye, Tin Lun Lam +3
The unconditioned reflex (e.g., protective reflex), which is the innate reaction of the organism and usually performed through the spinal cord rather than the brain, can enable org…