15 citations · 61 across the 23 of their papers we have counts for
9 papers · 1 filter
Toward a Framework for Adaptive Impedance Control of an Upper-limb Prosthesis
Laura Ferrante, Mohan Sridharan, Claudio Zito +1
Adapting upper-limb impedance (i.e., stiffness, damping, inertia) is essential for humans interacting with dynamic environments for executing grasping or manipulation tasks. On the…
Spatial Relation Graph and Graph Convolutional Network for Object Goal Navigation
D. A. Sasi Kiran, Kritika Anand, Chaitanya Kharyal +7
This paper describes a framework for the object-goal navigation task, which requires a robot to find and move to the closest instance of a target object class from a random startin…
Object Goal Navigation using Data Regularized Q-Learning
Nandiraju Gireesh, D. A. Sasi Kiran, Snehasis Banerjee +3
Object Goal Navigation requires a robot to find and navigate to an instance of a target object class in a previously unseen environment. Our framework incrementally builds a semant…
Knowledge-based and Data-driven Reasoning and Learning for Ad Hoc Teamwork
Hasra Dodampegama, Mohan Sridharan
We present an architecture for ad hoc teamwork, which refers to collaboration in a team of agents without prior coordination. State of the art methods for this problem often includ…
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…
A Survey of Ad Hoc Teamwork Research
Reuth Mirsky, Ignacio Carlucho, Arrasy Rahman +5
Ad hoc teamwork is the research problem of designing agents that can collaborate with new teammates without prior coordination. This survey makes a two-fold contribution: First, it…
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…