Search Results for author:
Found 7 papers, 0 papers with code
Safe motion planning with environment uncertainty
Moreover, possible occlusions and dynamic objects in the environment render imperfect landmark estimation.
Exact and Bounded Collision Probability for Motion Planning under Gaussian Uncertainty
Computing collision-free trajectories is of prime importance for safe navigation.
MPTP: Motion-Planning-aware Task Planning for Navigation in Belief Space
A reasonable comparison with a work that is closest to our approach is also provided.
An Integrated Localisation, Motion Planning and Obstacle Avoidance Algorithm in Belief Space
We present a novel approach (1) to incorporate these uncertainties for robot state estimation and (2) to compute the probability of collision pertaining to the estimated robot configurations.
Towards Multi-Robot Task-Motion Planning for Navigation in Belief Space
Autonomous robots operating in large knowledgeintensive domains require planning in the discrete (task) space and the continuous (motion) space.
Task-Motion Planning for Navigation in Belief Space
Furthermore, our framework is intended for motion planning under motion and sensing uncertainty, which is formally known as belief space planning.
Task-assisted Motion Planning in Partially Observable Domains
We present an integrated Task-Motion Planning framework for robot navigation in belief space.
