This is a DOE (Department of Energy) funded project exploring the possibility of using humanoid robots for decommissioning and decontamination work. Humanoid robots are desirable in this scenario for several reasons: the environments are designed for humans (doors, stairs, human tools etc.), exteremely harzardous for operators, system is a general solution applicable to a range of different tasks.
We propose a new method of generated and visualizing the amount of free space a manipulator has at any given configuration. This is achieved using the constrained polytope.
We show how this metric can be maximized in an optimization based motion planner and the result allows collision free motion in a cluttered environment.
In this video we demonstrate how the constrained manipulability polytope can be used to evaluate a humanoid robot's workspace.
We propose a new method to evaluate the robot's performance that considers both the system's geometric structure and
the presence of obstacles close to or in contact with the robot. In this case, we show how these polytopes can be combined together to evaluate the closed chain manipulability.
We propose a new method to evaluate the robot's performance that considers both the system's geometric structure and
the presence of obstacles close to or in contact with the robot. This method reduces the manipulator's joint velocity limits by deforming the manipulability polytope to account for obstacles.
During my time at the RiVER lab I had the pleasure of working closely with Aykuy Onol (@aykutonol), whose work focuses mainly on contact implicit trajectory optimization. In this work we demonstrate how the proposed planning method can discover complex multi-contact motions with only high level user commands.
In this work, we define a generalized method to evaluate risk for a failure event,
introducing the concept of severity based on robot state and operator
experience and defining a framework to allow on-line risk monitoring.
Associated Publications
A Comparative Analysis of Contact Models in Trajectory Optimization for Manipulation ,
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, 2018, pp. 1-9.
pdf_link
Evaluating Robot Manipulability in Constrained Environments by Velocity Polytope Reduction ,
Proceedings of the 2018 IEEE-RAS 18th International Conference on Humanoid Robots (Outstanding Paper award),
November 6, 2018 - November 9, 2018, P. Long, and T. Padir pdf_link
Evaluating Robot Manipulability in Constrained Environments by Velocity Polytope Reduction ,
Proceedings of the 2018 IEEE-RAS 18th International Conference on Humanoid Robots (Outstanding Paper award),
November 6, 2018 - November 9, 2018, P. Long, and T. Padir pdf_link
A Risk Informed Task Planning Framework for Humanoid Robots in Hazardous Environments ,
Proceedings of the 2018 IEEE-RAS 18th International Conference on Humanoid Robots ,
November 6, 2018 - November 9, P. Long, M. Wonsick and T. Padir pdf_link
Compositional Autonomy for Humanoid Robots with Risk-Aware Decision-Making, Proceedings of the 2017 IEEE-RAS 17th International Conference on Humanoid Robots, Nov 15, 2017 - Nov 17, 2017, X. Long, P. Long, and T. Padir pdf_link
Multi-Robot Scheduling and Path-Planning for Non-Overlapping Operator Attention, Proceedings of the 2018 IEEE-RAS 2nd International Conference on Robotic Computing (IRC), Jan 31, 2018 - Feb 2, 2018, S. Zanlongo, F. Abodo, P. Long, T. Padir and L. Bobadilla
Integrating Risk in Humanoid Robot Control for Applications in the Nuclear Industry , Proceedings of the 2018 Waste Management Symposium (WM2018), Mar 19, 2018 - Mar 23, 2018, P. Long, X. long, A.Onol and T. Padir
(Invited Talk) "Robot Control for Industrial Applications & Beyond....", UMASS, Boston, September 2017