Safe & Trustworthy Robotics

Safe and trustworthy robotics studies how to make robots avoid harm, respect constraints and behave predictably, especially when they use learning.

Learned policies can fail unpredictably. Safety methods provide constraints, runtime filters, uncertainty estimates and formal verification.

Robots operating near people need guarantees, not only average-case performance.