Benchmark Radar
AI BENCHMARK PROFILE

R2HandoverSim

Robotics & Autonomous SystemsRobotics & Embodied IntelligenceRobot Future

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.