most citedRandomized Physics-based Motion Planning for Grasping in Cluttered and Uncertain Environments

27 citations · 53 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO201727 cited

Randomized Physics-based Motion Planning for Grasping in Cluttered and Uncertain Environments

Muhayyuddin, Mark Moll, Lydia Kavraki +1

Planning motions to grasp an object in cluttered and uncertain environments is a challenging task, particularly when a collision-free trajectory does not exist and objects obstruct…

cs.RO2017

Ontological Physics-based Motion Planning for Manipulation

M Muhayyuddin, Aliakbar Akbari, Jan Rosell

Robotic manipulation involves actions where contacts occur between the robot and the objects. In this scope, the availability of physics-based engines allows motion planners to com…

cs.RO20172 cited

Physics-based Motion Planning with Temporal Logic Specifications

Muhayyuddin, Aliakbar Akbari, Jan Rosell

One of the main foci of robotics is nowadays centered in providing a great degree of autonomy to robots. A fundamental step in this direction is to give them the ability to plan in…

cs.RO20176 cited

-PMP: Enhancing Physics-based Motion Planners with Knowledge-based Reasoning

Muhayyuddin, Aliakbar Akbari, Jan Rosell

Physics-based motion planning is a challenging task, since it requires the computation of the robot motions while allowing possible interactions with (some of) the obstacles in the…

cs.RO201718 cited

Physics-based Motion Planning: Evaluation Criteria and Benchmarking

Muhayyuddin, Aliakbar Akbari, Jan Rosell

Motion planning has evolved from coping with simply geometric problems to physics-based ones that incorporate the kinodynamic and the physical constraints imposed by the robot and…