4 citations · 10 across the 6 of their papers we have counts for
5 papers · 1 filter
BURG-Toolkit: Robot Grasping Experiments in Simulation and the Real World
Martin Rudorfer, Markus Suchi, Mohan Sridharan +2
This paper presents BURG-Toolkit, a set of open-source tools for Benchmarking and Understanding Robotic Grasping. Our tools allow researchers to: (1) create virtual scenes for gene…
Generating Task-specific Robotic Grasps
Mark Robson, Mohan Sridharan
This paper describes a method for generating robot grasps by jointly considering stability and other task and object-specific constraints. We introduce a three-level representation…
Towards a Framework for Changing-Contact Robot Manipulation
Saif Sidhik, Mohan Sridharan, Dirk Ruiken
Many robot manipulation tasks require the robot to make and break contact with objects and surfaces. The dynamics of such changing-contact robot manipulation tasks are discontinuou…
Continual Learning of Knowledge Graph Embeddings
Angel Daruna, Mehul Gupta, Mohan Sridharan +1
In recent years, there has been a resurgence in methods that use distributed (neural) representations to represent and reason about semantic knowledge for robotics applications. Ho…
Generative grasp synthesis from demonstration using parametric mixtures
Ermano Arruda, Claudio Zito, Mohan Sridharan +2
We present a parametric formulation for learning generative models for grasp synthesis from a demonstration. We cast new light on this family of approaches, proposing a parametric…