Austin S. Wang

20 papers A* 3A 3Misc 1Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge. CoRR Sriram Yenamandra, Arun Ramachandran, Mukul Khanna, Karmesh Yadav, Jay Vakil, Andrew Melnik, Michael Büttner, Leon Harz, Lyon Brown, Gora Chand Nandi, Arjun P. S, Gaurav Kumar Yadav, Rahul Kala, Robert Haschke, Yang Luo, Jinxin Zhu, Yansen Han, Bingyi Lu, Xuan Gu, Qinyuan Liu, Yaping Zhao, Qiting Ye, Chenxiao Dou, Yansong Chua, Volodymyr Kuzma, Vladyslav Humennyy, Ruslan Partsey, Jonathan Francis, Devendra Singh Chaplot, Gunjan Chhablani, Alexander Clegg, Théophile Gervet, Vidhi Jain, Ram Ramrakhya, Andrew Szot, Austin S. Wang, Tsung-Yen Yang, Aaron Edsinger, Charles C. Kemp, Binit Shah, Zsolt Kira, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton
2023	Misc	`conf`	HomeRobot: Open-Vocabulary Mobile Manipulation. CoRL Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav, Austin S. Wang, Mukul Khanna, Théophile Gervet, Tsung-Yen Yang, Vidhi Jain, Alexander Clegg, John M. Turner, Zsolt Kira, Manolis Savva, Angel X. Chang, Devendra Singh Chaplot, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton
2023	J	`jnl`	HomeRobot: Open-Vocabulary Mobile Manipulation. CoRR Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav, Austin S. Wang, Mukul Khanna, Théophile Gervet, Tsung-Yen Yang, Vidhi Jain, Alexander William Clegg, John M. Turner, Zsolt Kira, Manolis Savva, Angel X. Chang, Devendra Singh Chaplot, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton
2023	A*	`conf`	Navigating to Objects Specified by Images. ICCV Jacob Krantz, Théophile Gervet, Karmesh Yadav, Austin S. Wang, Chris Paxton, Roozbeh Mottaghi, Dhruv Batra, Jitendra Malik, Stefan Lee, Devendra Singh Chaplot
2023	J	`jnl`	Navigating to Objects Specified by Images. CoRR Jacob Krantz, Théophile Gervet, Karmesh Yadav, Austin S. Wang, Chris Paxton, Roozbeh Mottaghi, Dhruv Batra, Jitendra Malik, Stefan Lee, Devendra Singh Chaplot
2023	A	`conf`	USA-Net: Unified Semantic and Affordance Representations for Robot Memory. IROS Benjamin Bolte, Austin S. Wang, Jimmy Yang, Mustafa Mukadam, Mrinal Kalakrishnan, Chris Paxton
2023	J	`jnl`	USA-Net: Unified Semantic and Affordance Representations for Robot Memory. CoRR Benjamin Bolte, Austin S. Wang, Jimmy Yang, Mustafa Mukadam, Mrinal Kalakrishnan, Chris Paxton
2022	J	`jnl`	Differentiable and Learnable Robot Models. CoRR Franziska Meier, Austin S. Wang, Giovanni Sutanto, Yixin Lin, Paarth Shah
2022	J	`jnl`	Efficient and Interpretable Robot Manipulation With Graph Neural Networks. IEEE Robotics Autom. Lett. Yixin Lin, Austin S. Wang, Eric Undersander, Akshara Rai
2022	J	`jnl`	RB2: Robotic Manipulation Benchmarking with a Twist. CoRR Sudeep Dasari, Jianren Wang, Joyce Hong, Shikhar Bahl, Yixin Lin, Austin S. Wang, Abitha Thankaraj, Karanbir Chahal, Berk Çalli, Saurabh Gupta, David Held, Lerrel Pinto, Deepak Pathak, Vikash Kumar, Abhinav Gupta
2022	A*	`conf`	Theseus: A Library for Differentiable Nonlinear Optimization. NeurIPS Luis Pineda, Taosha Fan, Maurizio Monge, Shobha Venkataraman, Paloma Sodhi, Ricky T. Q. Chen, Joseph Ortiz, Daniel DeTone, Austin S. Wang, Stuart Anderson, Jing Dong, Brandon Amos, Mustafa Mukadam
2022	J	`jnl`	Theseus: A Library for Differentiable Nonlinear Optimization. CoRR Luis Pineda, Taosha Fan, Maurizio Monge, Shobha Venkataraman, Paloma Sodhi, Ricky T. Q. Chen, Joseph Ortiz, Daniel DeTone, Austin S. Wang, Stuart Anderson, Jing Dong, Brandon Amos, Mustafa Mukadam
2021	J	`jnl`	Efficient and Interpretable Robot Manipulation with Graph Neural Networks. CoRR Yixin Lin, Austin S. Wang, Akshara Rai
2021	—	`conf`	RB2: Robotic Manipulation Benchmarking with a Twist. NeurIPS Datasets and Benchmarks Sudeep Dasari, Jianren Wang, Joyce Hong, Shikhar Bahl, Yixin Lin, Austin S. Wang, Abitha Thankaraj, Karanbir Chahal, Berk Çalli, Saurabh Gupta, David Held, Lerrel Pinto, Deepak Pathak, Vikash Kumar, Abhinav Gupta
2020	—	`conf`	Encoding Physical Constraints in Differentiable Newton-Euler Algorithm. L4DC Giovanni Sutanto, Austin S. Wang, Yixin Lin, Mustafa Mukadam, Gaurav S. Sukhatme, Akshara Rai, Franziska Meier
2020	J	`jnl`	Encoding Physical Constraints in Differentiable Newton-Euler Algorithm. CoRR Giovanni Sutanto, Austin S. Wang, Yixin Lin, Mustafa Mukadam, Gaurav S. Sukhatme, Akshara Rai, Franziska Meier
2020	A	`conf`	Learning State-Dependent Losses for Inverse Dynamics Learning. IROS Kristen Morse, Neha Das, Yixin Lin, Austin S. Wang, Akshara Rai, Franziska Meier
2020	J	`jnl`	Learning State-Dependent Losses for Inverse Dynamics Learning. CoRR Kristen Morse, Neha Das, Yixin Lin, Austin S. Wang, Akshara Rai, Franziska Meier
2019	A	`conf`	Homography-Based Deep Visual Servoing Methods for Planar Grasps. IROS Austin S. Wang, Wuming Zhang, Daniel Troniak, Jacky Liang, Oliver Kroemer
2019	A*	`conf`	Learning Robust Manipulation Strategies with Multimodal State Transition Models and Recovery Heuristics. ICRA Austin S. Wang, Oliver Kroemer