4 citations · 10 across the 6 of their papers we have counts for
11 papers
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…
Combining Commonsense Reasoning and Knowledge Acquisition to Guide Deep Learning in Robotics
Mohan Sridharan, Tiago Mota
Algorithms based on deep network models are being used for many pattern recognition and decision-making tasks in robotics and AI. Training these models requires a large labeled dat…
The Ninth Advances in Cognitive Systems (ACS) Conference
Mark Burstein, Mohan Sridharan, David McDonald
ACS is an annual meeting for research on the initial goals of artificial intelligence and cognitive science, which aimed to explain the mind in computational terms and to reproduce…
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…