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Adithyavairavan Murali
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2020 – today
- 2024
- [i14]Wentao Yuan, Jiafei Duan, Valts Blukis, Wilbert Pumacay, Ranjay Krishna, Adithyavairavan Murali, Arsalan Mousavian, Dieter Fox:
RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics. CoRR abs/2406.10721 (2024) - [i13]Huang Huang, Balakumar Sundaralingam, Arsalan Mousavian, Adithyavairavan Murali, Ken Goldberg, Dieter Fox:
DiffusionSeeder: Seeding Motion Optimization with Diffusion for Rapid Motion Planning. CoRR abs/2410.16727 (2024) - 2023
- [c16]Wentao Yuan, Adithyavairavan Murali, Arsalan Mousavian, Dieter Fox:
M2T2: Multi-Task Masked Transformer for Object-centric Pick and Place. CoRL 2023: 3619-3630 - [c15]Adithyavairavan Murali, Arsalan Mousavian, Clemens Eppner, Adam Fishman, Dieter Fox:
CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation. ICRA 2023: 1866-1874 - [i12]Adithyavairavan Murali, Arsalan Mousavian, Clemens Eppner, Adam Fishman, Dieter Fox:
CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation. CoRR abs/2304.09302 (2023) - [i11]Wentao Yuan, Adithyavairavan Murali, Arsalan Mousavian, Dieter Fox:
M2T2: Multi-Task Masked Transformer for Object-centric Pick and Place. CoRR abs/2311.00926 (2023) - 2022
- [c14]Adam Fishman, Adithyavairavan Murali, Clemens Eppner, Bryan Peele, Byron Boots, Dieter Fox:
Motion Policy Networks. CoRL 2022: 967-977 - [c13]Yu-Wei Chao, Chris Paxton, Yu Xiang, Wei Yang, Balakumar Sundaralingam, Tao Chen, Adithyavairavan Murali, Maya Cakmak, Dieter Fox:
HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers. ICRA 2022: 6941-6947 - [i10]Yu-Wei Chao, Chris Paxton, Yu Xiang, Wei Yang, Balakumar Sundaralingam, Tao Chen, Adithyavairavan Murali, Maya Cakmak, Dieter Fox:
HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers. CoRR abs/2205.09747 (2022) - [i9]Yun-Chun Chen, Adithyavairavan Murali, Balakumar Sundaralingam, Wei Yang, Animesh Garg, Dieter Fox:
Neural Motion Fields: Encoding Grasp Trajectories as Implicit Value Functions. CoRR abs/2206.14854 (2022) - [i8]Adam Fishman, Adithyavairavan Murali, Clemens Eppner, Bryan Peele, Byron Boots, Dieter Fox:
Motion Policy Networks. CoRR abs/2210.12209 (2022) - 2021
- [b1]Adithyavairavan Murali:
Data-Driven Robotic Grasping in the Wild. Carnegie Mellon University, USA, 2021 - 2020
- [c12]Adithyavairavan Murali, Weiyu Liu, Kenneth Marino, Sonia Chernova, Abhinav Gupta:
Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented Grasping. CoRL 2020: 1540-1557 - [c11]Adithyavairavan Murali, Arsalan Mousavian, Clemens Eppner, Chris Paxton, Dieter Fox:
6-DOF Grasping for Target-driven Object Manipulation in Clutter. ICRA 2020: 6232-6238 - [i7]Adithyavairavan Murali, Weiyu Liu, Kenneth Marino, Sonia Chernova, Abhinav Gupta:
Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented Grasping. CoRR abs/2011.06431 (2020)
2010 – 2019
- 2019
- [i6]Adithyavairavan Murali, Tao Chen, Kalyan Vasudev Alwala, Dhiraj Gandhi, Lerrel Pinto, Saurabh Gupta, Abhinav Gupta:
PyRobot: An Open-source Robotics Framework for Research and Benchmarking. CoRR abs/1906.08236 (2019) - [i5]Adithyavairavan Murali, Arsalan Mousavian, Clemens Eppner, Chris Paxton, Dieter Fox:
6-DOF Grasping for Target-driven Object Manipulation in Clutter. CoRR abs/1912.03628 (2019) - 2018
- [c10]Adithyavairavan Murali, Lerrel Pinto, Dhiraj Gandhi, Abhinav Gupta:
CASSL: Curriculum Accelerated Self-Supervised Learning. ICRA 2018: 6453-6460 - [c9]Adithyavairavan Murali, Yin Li, Dhiraj Gandhi, Abhinav Gupta:
Learning to Grasp Without Seeing. ISER 2018: 375-386 - [c8]Abhinav Gupta, Adithyavairavan Murali, Dhiraj Gandhi, Lerrel Pinto:
Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias. NeurIPS 2018: 9112-9122 - [c7]Tao Chen, Adithyavairavan Murali, Abhinav Gupta:
Hardware Conditioned Policies for Multi-Robot Transfer Learning. NeurIPS 2018: 9355-9366 - [i4]Adithyavairavan Murali, Yin Li, Dhiraj Gandhi, Abhinav Gupta:
Learning to Grasp Without Seeing. CoRR abs/1805.04201 (2018) - [i3]Abhinav Gupta, Adithyavairavan Murali, Dhiraj Gandhi, Lerrel Pinto:
Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias. CoRR abs/1807.07049 (2018) - [i2]Tao Chen, Adithyavairavan Murali, Abhinav Gupta:
Hardware Conditioned Policies for Multi-Robot Transfer Learning. CoRR abs/1811.09864 (2018) - 2017
- [i1]Adithyavairavan Murali, Lerrel Pinto, Dhiraj Gandhi, Abhinav Gupta:
CASSL: Curriculum Accelerated Self-Supervised Learning. CoRR abs/1708.01354 (2017) - 2016
- [c6]Adithyavairavan Murali, Animesh Garg, Sanjay Krishnan, Florian T. Pokorny, Pieter Abbeel, Trevor Darrell, Ken Goldberg:
TSC-DL: Unsupervised trajectory segmentation of multi-modal surgical demonstrations with Deep Learning. ICRA 2016: 4150-4157 - 2015
- [c5]Stephen McKinley, Animesh Garg, Siddarth Sen, Rishi Kapadia, Adithyavairavan Murali, Kirk A. Nichols, Susan Lim, Sachin Patil, Pieter Abbeel, Allison M. Okamura, Ken Goldberg:
A single-use haptic palpation probe for locating subcutaneous blood vessels in robot-assisted minimally invasive surgery. CASE 2015: 1151-1158 - [c4]Adithyavairavan Murali, Siddarth Sen, Ben Kehoe, Animesh Garg, Seth McFarland, Sachin Patil, W. Douglas Boyd, Susan Lim, Pieter Abbeel, Kenneth Y. Goldberg:
Learning by observation for surgical subtasks: Multilateral cutting of 3D viscoelastic and 2D Orthotropic Tissue Phantoms. ICRA 2015: 1202-1209 - [c3]Kamran Shamaei, Yuhang Che, Adithyavairavan Murali, Siddarth Sen, Sachin Patil, Ken Goldberg, Allison M. Okamura:
A paced shared-control teleoperated architecture for supervised automation of multilateral surgical tasks. IROS 2015: 1434-1439 - [c2]Kirk A. Nichols, Adithyavairavan Murali, Siddarth Sen, Ken Goldberg, Allison M. Okamura:
Models of human-centered automation in a debridement task. IROS 2015: 5784-5789 - 2014
- [c1]Jeffrey Mahler, Sanjay Krishnan, Michael Laskey, Siddarth Sen, Adithyavairavan Murali, Ben Kehoe, Sachin Patil, Jiannan Wang, Mike Franklin, Pieter Abbeel, Kenneth Y. Goldberg:
Learning accurate kinematic control of cable-driven surgical robots using data cleaning and Gaussian Process Regression. CASE 2014: 532-539
Coauthor Index
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last updated on 2024-11-28 21:25 CET by the dblp team
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