activity
20192021
most citedAn Integrated Localisation, Motion Planning and Obstacle Avoidance Algorithm in Belief Space

13 citations · 16 across the 4 of their papers we have counts for

collaborators

6 papers

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.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.RO202113 cited

An Integrated Localisation, Motion Planning and Obstacle Avoidance Algorithm in Belief Space

Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto

As robots are being increasingly used in close proximity to humans and objects, it is imperative that robots operate safely and efficiently under real-world conditions. Yet, the en…

cs.RO20202 cited

Towards Multi-Robot Task-Motion Planning for Navigation in Belief Space

Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto

Autonomous robots operating in large knowledgeintensive domains require planning in the discrete (task) space and the continuous (motion) space. In knowledge-intensive domains, on…

cs.RO2019

Task-assisted Motion Planning in Partially Observable Domains

Antony Thomas, Sunny Amatya, Fulvio Mastrogiovanni +1

We present an integrated Task-Motion Planning framework for robot navigation in belief space. Autonomous robots operating in real world complex scenarios require planning in the di…