Follow-Bench is a unified simulation benchmark for robot person following that re-implements eight planners and evaluates their safety-comfort trade-offs across varied target paths, crowds, and environments, with real-robot validation.
Title resolution pending
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
roles
background 1polarities
background 1representative citing papers
The paper shows that monocular depth estimation from foundation models, enhanced with SLAM rescaling, edge masking, and temporal smoothing, can match LiDAR for off-road robot navigation.
A zero-shot framework that recovers part articulations and produces simulation-compatible interactive 3D scene replicas from static inputs.
Unreal Robotics Lab integrates Unreal Engine rendering with MuJoCo physics to enable high-fidelity simulation for robotics perception, control, and benchmarking under diverse conditions.
citing papers explorer
-
Follow-Bench: A Unified Motion Planning Benchmark for Socially-Aware Robot Person Following
Follow-Bench is a unified simulation benchmark for robot person following that re-implements eight planners and evaluates their safety-comfort trade-offs across varied target paths, crowds, and environments, with real-robot validation.
-
An Open-Source LiDAR and Monocular Off-Road Autonomous Navigation Stack
The paper shows that monocular depth estimation from foundation models, enhanced with SLAM rescaling, edge masking, and temporal smoothing, can match LiDAR for off-road robot navigation.
-
REACT3D: Recovering Articulations for Interactive Physical 3D Scenes
A zero-shot framework that recovers part articulations and produces simulation-compatible interactive 3D scene replicas from static inputs.
-
Unreal Robotics Lab: A High-Fidelity Robotics Simulator with Advanced Physics and Rendering
Unreal Robotics Lab integrates Unreal Engine rendering with MuJoCo physics to enable high-fidelity simulation for robotics perception, control, and benchmarking under diverse conditions.