1 citations · 1 across the 3 of their papers we have counts for
Showing cs.ROShow all
2 papers · 1 filter
cs.RO2026★ 1 cited
Safe Learning for Contact-Rich Robot Tasks: A Survey from Classical Learning-Based Methods to Safe Foundation Models
Heng Zhang, Rui Dai, Gokhan Solak +3
Contact-rich tasks pose significant challenges for robotic systems due to inherent uncertainty, complex dynamics, and the high risk of damage during interaction. Recent advances in…
cs.RO2025
A Task-Driven, Planner-in-the-Loop Computational Design Framework for Modular Manipulators
Maolin Lei, Edoardo Romiti, Arturo Laurenzi +5
Modular manipulators composed of pre-manufactured and interchangeable modules offer high adaptability across diverse tasks. However, their deployment requires generating feasible m…