AI BENCHMARK PROFILE
R2HandoverSim
Simulation benchmark for robot-to-human object handovers with standardized evaluation protocol and five complementary metrics: planning feasibility, reachability, grasp stability, grasp affordance, and safety. Compares four baseline methods on shared grasp pose prediction.
- Released
- 2026-06-19
- Readiness
- Inspectable
- Primary field
- Robotics & Autonomous Systems
Why it matters
Addresses lack of standardized evaluation in R2H handover research, enabling objective comparison across methods. Simulation results correlate with real-world outcomes, providing a practical tool for developing and validating handover systems.
Motivation
We present R2HandoverSim, a simulation benchmark for robot-to-human (R2H) object handovers.
Primary resources
Benchmark Radar records only publicly supported details and links back to primary sources for verification.