Avoiding moving obstacles on foot: Can people learn to anticipate obstacle motion?

Motion Coordination in Dynamic Environments: Reaching a Moving Goal while Avoiding Moving Obstacles

Randomized Kinodynamic Motion Planning with Moving Obstacles

This paper presents a novel randomized motion planner for robots that must achieve a specified goal under kinematic and/or dynamic motion constraints while avoiding collision with moving obstacles with known trajectories. The planner encodes the motion constraints on the robot with a control system and samples the robot’s state×time space by picking control inputs at random and integrating its ...

Kinodynamic Motion Planning Amidst Moving Obstacles

This paper presents a randomized motion planner for kinodynamic asteroid avoidanceproblems, in which a robot must avoid collision with moving obstacles under kinematic, dynamic constraints and reach a specified goal state. Inspired by probabilistic-roadmap (PRM) techniques, the planner samples the state time space of a robot by picking control inputs at random in order to compute a roadmap that...

Kinodynamic Motion Planning with Moving Obstacles

This paper presents a novel randomized motion planner for robots that must achieve a specified goal under kinematic and/or dynamic motion constraints while avoiding collision with moving obstacles with known trajectories. The planner encodes the motion constraints on the robot with a control system and samples the robot’s state×time space by picking control inputs at random and integrating its ...

Bayesian Inference Driven Behavior Network Architecture for Avoiding Moving Obstacles

This paper presents a technique for an intelligent robot to adaptively behave in unforeseen and dynamic circumstances. Since the traditional methods utilized the relatively reliable information about the environment to control intelligent robots, they were robust but could not behave adaptively in complex and dynamic world. On the contrary, behavior-based approach is suitable for generating aut...