2026
Multi-View Projection-Based Self-Interference Detection and Interfering Path Point Optimization for Manipulators
RA-L 2026
When manipulators perform non-repetitive tasks in dynamic environments, the generated trajectories are often highly nonlinear and difficult to verify in advance, which increases the risk of self-interference during execution. Existing studies mainly rely on detecting abrupt changes in physical signa