Memory-Aware Multi-Sensor Perception for Efficient and Safe Navigation in Dynamic Environments

arXiv:2609.30495 · cs.RO · Submitted 2026-09-24 · Read on arXiv

cs.RO

Submitted: 2026-09-24

Updated: 2026-09-24

Code: https://github.com/aws-robotics/aws-robomaker-hospital-world

Project page: https://yifanxueseas.github.io/memory-aware-multi-sensory-navigation-web

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Control Barrier Function — 8× in this paper
• Adaptation — 4× in this paper · explained in 1 episode
• Representation Learning — 4× in this paper · explained in 2 episodes
• Clustering — 3× in this paper · explained in 2 episodes
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• IEEE International Conference on Robotics and Automation — 2× in this paper
• Ablation — 1× in this paper · explained in 1 episode
• Actor — 1× in this paper · explained in 3 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Limit Cycles — 1× in this paper · explained in 2 episodes
• Nadia — 1× in this paper · explained in 2 episodes
• Steering — 1× in this paper · explained in 2 episodes

Sources

• LV-DOT: LiDAR-visual dynamic obstacle detection and tracking for autonomous robot navigation
• No Undesirable Equilibria, No Collisions: Combining Modulation and Control Barrier Functions for Liveness and Safety in Dynamic Collision Avoidance
• Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models

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