🔥 News

• 2025.10: Check out our latest work, “Adap-RPF: Adaptive Trajectory Sampling for Robot Person Following in Dynamic Crowded Environments.” This work adopts a dopt an sample-evaluate-plan paradigm with a multiple-objective cost function design and a prediction-aware MPPI controller, enabling smooth and safe person following in dynamic crowded environments. Learn more on the project website.
• 2025.09: Check out our latest work, “Follow-Bench: A Unified Motion Planning Benchmark for Socially-Aware Robot Person Following.” This work provides a comprehensive review of RPF scenarios, evaluation metrics, and planners, with a particular emphasis on requirements of safety and comfort. It further introduces a unified benchmark for the systematic evaluation of RPF planners. Learn more on the project website.
• 2025.07: 🥳🥳 TPT-Bench dataset and development tools are released.
• 2025.07: 🎉🎉 RPF-Search accepted by T-MECH. Code and simulated environments would be released soon.
• 2025.06: Two papers accepted by IROS 2025 (RPF-Quadruped and FlowPlan). See you in Hangzhou!