Learning speed adaptation for flight in clutter

G Zhao, T Wu, Y Chen, F Gao - IEEE Robotics and Automation …, 2024‏ - ieeexplore.ieee.org
Animals learn to adapt speed of their movements to their capabilities and the environment
they observe. Mobile robots should also demonstrate this ability to trade-off aggressiveness …

Enhancing Safety via Deep Reinforcement Learning in Trajectory Planning for Agile Flights in Unknown Environments

L Rocha, J Bidinotto, F Heintz, M Tiger… - 2024 IEEE/RSJ …, 2024‏ - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs), known for their agile flight capabilities, require safe
trajectory planning to achieve high-speed flights. This is necessary to swiftly evade …

Utilizing the Entropy Weighting Method to Determine Objective Weights in Robot Trajectory Optimization

N Shen, H You, J Li, H Qian - 2024 6th International …, 2024‏ - ieeexplore.ieee.org
Optimizing trajectories of collaborative robots is crucial to ensure the efficiency and safety of
human-robot interactions in many manufacturing industries. This paper introduced an …