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20192022
most citedAn Integrated Localisation, Motion Planning and Obstacle Avoidance Algorithm in Belief Space

13 citations · 21 across the 9 of their papers we have counts for

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11 papers · 1 filter

cs.RO2022

Minimum Displacement Motion Planning for Movable Obstacles

Antony Thomas, Fulvio Mastrogiovanni

This paper presents a minimum displacement motion planning problem wherein obstacles are displaced by a minimum amount to find a feasible path. We define a metric for robot-obstacl…

cs.RO20211 cited

Exact and Bounded Collision Probability for Motion Planning under Gaussian Uncertainty

Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto

Computing collision-free trajectories is of prime importance for safe navigation. We present an approach for computing the collision probability under Gaussian distributed motion a…

cs.RO20211 cited

Task Allocation for Multi-Robot Task and Motion Planning: a case for Object Picking in Cluttered Workspaces

Hossein Karami, Antony Thomas, Fulvio Mastrogiovanni

We present an AND/OR graph-based, integrated multi-robot task and motion planning approach which (i) performs task allocation coordinating the activity of a given number of robots,…

cs.RO2021

MPTP: Motion-Planning-aware Task Planning for Navigation in Belief Space

Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto

We present an integrated Task-Motion Planning (TMP) framework for navigation in large-scale environments. Of late, TMP for manipulation has attracted significant interest resulting…

cs.RO2021

Probabilistic Collision Constraint for Motion Planning in Dynamic Environments

Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto

Online generation of collision free trajectories is of prime importance for autonomous navigation. Dynamic environments, robot motion and sensing uncertainties adds further challen…

cs.RO20211 cited

A Task-Motion Planning Framework Using Iteratively Deepened AND/OR Graph Networks

Hossein Karami, Antony Thomas, Fulvio Mastrogiovanni

We present an approach for Task-Motion Planning (TMP) using Iterative Deepened AND/OR Graph Networks (TMP-IDAN) that uses an AND/OR graph network based novel abstraction for compac…