Balakumar Sundaralingam | DeepAI

AI Chat

Featured Co-authors

Antonio Torralba
148 publications
Dieter Fox
146 publications
Tao Chen
134 publications
Wei Yang
121 publications
Animesh Garg
96 publications
Byron Boots
89 publications
Fabio Ramos
73 publications
Danica Kragic
71 publications
Jacob Andreas
65 publications
Yu Xiang
57 publications
Tucker Hermans
43 publications

∙ 07/08/2023

Meta-Policy Learning over Plan Ensembles for Robust Articulated Object Manipulation

Recent work has shown that complex manipulation skills, such as pushing ...

0 Constantinos Chamzas, et al. ∙

∙ 10/25/2022

DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality

Recent work has demonstrated the ability of deep reinforcement learning ...

0 Ankur Handa, et al. ∙

∙ 06/29/2022

Neural Motion Fields: Encoding Grasp Trajectories as Implicit Value Functions

The pipeline of current robotic pick-and-place methods typically consist...

8 Yun-Chun Chen, et al. ∙

∙ 05/19/2022

HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers

We introduce a new simulation benchmark "HandoverSim" for human-to-robot...

17 Yu-Wei Chao, et al. ∙

∙ 04/11/2022

Correcting Robot Plans with Natural Language Feedback

When humans design cost or goal specifications for robots, they often pr...

2 Pratyusha Sharma, et al. ∙

∙ 03/31/2022

Model Predictive Control for Fluid Human-to-Robot Handovers

Human-robot handover is a fundamental yet challenging task in human-robo...

8 Wei Yang, et al. ∙

∙ 03/21/2022

DefGraspSim: Physics-based simulation of grasp outcomes for 3D deformable objects

Robotic grasping of 3D deformable objects (e.g., fruits/vegetables, inte...

0 Isabella Huang, et al. ∙

∙ 11/09/2021

Learning Perceptual Concepts by Bootstrapping from Human Queries

Robots need to be able to learn concepts from their users in order to ad...

4 Andreea Bobu, et al. ∙

∙ 09/21/2021

Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior

Classical mechanical systems are central to controller design in energy ...

0 Karl Van Wyk, et al. ∙

∙ 07/12/2021

DefGraspSim: Simulation-based grasping of 3D deformable objects

Robotic grasping of 3D deformable objects (e.g., fruits/vegetables, inte...

0 Isabella Huang, et al. ∙

∙ 04/28/2021

Fast Joint Space Model-Predictive Control for Reactive Manipulation

Sampling-based model predictive control (MPC) is a promising tool for fe...

0 Mohak Bhardwaj, et al. ∙

∙ 03/31/2021

Sim-to-Real for Robotic Tactile Sensing via Physics-Based Simulation and Learned Latent Projections

Tactile sensing is critical for robotic grasping and manipulation of obj...

0 Yashraj Narang, et al. ∙

∙ 01/14/2021

Interpreting and Predicting Tactile Signals for the SynTouch BioTac

In the human hand, high-density contact information provided by afferent...

0 Yashraj S. Narang, et al. ∙

∙ 11/12/2020

Joint Space Control via Deep Reinforcement Learning

The dominant way to control a robot manipulator uses hand-crafted differ...

0 Visak Kumar, et al. ∙

∙ 03/30/2020

In-Hand Object-Dynamics Inference using Tactile Fingertips

Having the ability to estimate an object's properties through interactio...

0 Balakumar Sundaralingam, et al. ∙

∙ 01/25/2020

Multi-Fingered Grasp Planning via Inference in Deep Neural Networks

We propose a novel approach to multi-fingered grasp planning leveraging ...

0 Qingkai Lu, et al. ∙

∙ 01/09/2020

Benchmarking In-Hand Manipulation

The purpose of this benchmark is to evaluate the planning and control as...

0 Silvia Cruciani, et al. ∙

∙ 10/02/2019

Learning Continuous 3D Reconstructions for Geometrically Aware Grasping

Deep learning has enabled remarkable improvements in grasp synthesis for...

35 Mark Van der Merwe, et al. ∙

∙ 03/08/2019

Joint Inference of Kinematic and Force Trajectories with Visuo-Tactile Sensing

To perform complex tasks, robots must be able to interact with and manip...

0 Alexander Lambert, et al. ∙

∙ 11/08/2018

Learning Latent Space Dynamics for Tactile Servoing

In order to achieve a dexterous robotic manipulation, we need to equip o...

0 Giovanni Sutanto, et al. ∙

∙ 10/15/2018

Robust Learning of Tactile Force Estimation through Robot Interaction

Current methods for estimating force from tactile sensor signals are eit...

0 Balakumar Sundaralingam, et al. ∙

∙ 09/27/2018

Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects

Using synthetic data for training deep neural networks for robotic manip...

0 Jonathan Tremblay, et al. ∙

∙ 06/04/2018

Relaxed-Rigidity Constraints: Kinematic Trajectory Optimization and Collision Avoidance for In-Grasp Manipulation

This paper proposes a novel approach to performing in-grasp manipulation...

0 Balakumar Sundaralingam, et al. ∙

∙ 04/12/2018

Geometric In-Hand Regrasp Planning: Alternating Optimization of Finger Gaits and In-Grasp Manipulation

This paper explores the problem of autonomous, in-hand regrasping--the p...

0 Balakumar Sundaralingam, et al. ∙

∙ 04/10/2018

Planning Multi-Fingered Grasps as Probabilistic Inference in a Learned Deep Network

We propose a novel approach to multi-fingered grasp planning leveraging ...

0 Qingkai Lu, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world