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Humanoid robots have significant gaps in their sensing and perception, making it hard to perform motion planning in dense environments.
A depth space approach to human-robot collision avoidance
Fabrizio Flacco, Torsten Kröger, Alessandro De Luca, and Oussama Khatib · 2012
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever · 2018
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A multi-modal sensor array for safe human-robot interaction and mapping
Colette Abah, Andrew Orekhov, Garrison Johnston, Peng Yin, Howie Choset, and Nabil Simaan · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding, 2019
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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AMASS: Archive of motion capture as surface shapes
Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje, Gerard Pons-Moll, and Michael J. Black · 2019
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu · 2019
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Efficient bimanual manipulation using learned task schemas
Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, and Abhinav Gupta · 2020
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Deltar: Depth estimation from a light-weight tof sensor and rgb image, 2022
Yijin Li, Xinyang Liu, Wenqi Dong, Han Zhou, Hujun Bao, Guofeng Zhang, Yinda Zhang, and Zhaopeng Cui · 2022
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Safe reinforcement learning of dynamic high-dimensional robotic tasks: Navigation, manipulation, interaction
Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Zhiyuan Hu, Jan Peters, and Georgia Chalvatzaki · 2022
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Safety-Critical Manipulation for Collision-Free Food Preparation
Andrew Singletary, William Guffey, Tamas G. Molnar, Ryan Sinnet, and Aaron D. Ames · 2022
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Akshay Thirugnanam, Jun Zeng, and Koushil Sreenath · 2022
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Motion policy networks
Adam Fishman, Adithyavairavan Murali, Clemens Eppner, Bryan Peele, Byron Boots, and Dieter Fox · 2023
Cited alongside, same era.
Stabilize to act: Learning to coordinate for bimanual manipulation
Jennifer Grannen, Yilin Wu, Brandon Vu, and Dorsa Sadigh · 2023
Cited alongside, same era.
Multi-Modal Neural Radiance Field for Monocular Dense SLAM with a Light-Weight ToF Sensor
Xinyang Liu, Yijin Li, Yanbin Teng, Hujun Bao, Guofeng Zhang, Yinda Zhang, and Zhaopeng Cui · 2023
Cited alongside, same era.
Mario Srouji, Hugues Thomas, Hubert Tsai, Ali Farhadi, and Jian Zhang · 2023
Cited alongside, same era.
Curobo: Parallelized collision-free robot motion generation
Balakumar Sundaralingam, Siva Kumar Sastry Hari, Adam Fishman, Caelan Garrett, Karl Van Wyk, Valts Blukis, Alexander Millane, Helen Oleynikova, Ankur Handa, Fabio Ramos, Nathan Ratliff, and Dieter Fox · 2023
Diffusionseeder: Seeding motion optimization with diffusion for rapid motion planning
Huang Huang, Balakumar Sundaralingam, Arsalan Mousavian, Adithyavairavan Murali, Ken Goldberg, and Dieter Fox · 2024
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Digitizing touch with an artificial multimodal fingertip, 2024
Mike Lambeta, Tingfan Wu, Ali Sengul, Victoria Rose Most, Nolan Black, Kevin Sawyer, Romeo Mercado, Haozhi Qi, Alexander Sohn, Byron Taylor, Norb Tydingco, Gregg Kammerer, Dave Stroud, Jake Khatha, Kurt Jenkins, Kyle Most, Neal Stein, Ricardo Chavira, Thomas Craven-Bartle, Eric Sanchez, Yitian Ding, Jitendra Malik, and Roberto Calandra · 2024
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Okami: Teaching humanoid robots manipulation skills through single video imitation
Jinhan Li, Yifeng Zhu, Yuqi Xie, Zhenyu Jiang, Mingyo Seo, Georgios Pavlakos, and Yuke Zhu · 2024
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Safe reinforcement learning on the constraint manifold: Theory and applications
Puze Liu, Haitham Bou-Ammar, Jan Peters, and Davide Tateo · 2024
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Towards 3D Vision with Low-Cost Single-Photon Cameras
Fangzhou Mu, Carter Sifferman, Sacha Jungerman, Yiquan Li, Mark Han, Michael Gleicher, Mohit Gupta, and Yin Li · 2024
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Cited alongside, same era.
Learning fine-grained bimanual manipulation with low-cost hardware, 2023
Tony Z. Zhao, Vikash Kumar, Sergey Levine, and Chelsea Finn · 2023
Cited alongside, same era.
Neural mp: A generalist neural motion planner
Murtaza Dalal, Jiahui Yang, Russell Mendonca, Youssef Khaky, Ruslan Salakhutdinov, and Deepak Pathak · 2024
Cited alongside, same era.
Humanplus: Humanoid shadowing and imitation from humans
Zipeng Fu, Qingqing Zhao, Qi Wu, Gordon Wetzstein, and Chelsea Finn · 2024
Cited alongside, same era.
From cyskin to proxyskin: Design, implementation and testing of a multi-modal robotic skin for human–robot interaction
Francesco Giovinazzo, Francesco Grella, Marco Sartore, Manuela Adami, Riccardo Galletti, and Giorgio Cannata · 2024
Cited alongside, same era.
Baku: An efficient transformer for multi-task policy learning, 2024
Siddhant Haldar, Zhuoran Peng, and Lerrel Pinto · 2024
Cited alongside, same era.
Sparsh: Self-supervised touch representations for vision-based tactile sensing, 2024
Carolina Higuera, Akash Sharma, Chaithanya Krishna Bodduluri, Taosha Fan, Patrick Lancaster, Mrinal Kalakrishnan, Michael Kaess, Byron Boots, Mike Lambeta, Tingfan Wu, and Mustafa Mukadam · 2024
Cited alongside, same era.
Closest in time.
Learning precise, contact-rich manipulation through uncalibrated tactile skins, 2024
Venkatesh Pattabiraman, Yifeng Cao, Siddhant Haldar, Lerrel Pinto, and Raunaq Bhirangi · 2024
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Qwiic mini tof imager - vl53l5cx, 2024
SparkFun · 2024
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Xiao esp32s3, 2024
Seeed Studio · 2024
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Efficient Motion Planning for Manipulators with Control Barrier Function-Induced Neural Controller
Mingxin Yu, Chenning Yu, M.-Mahdi Naddaf-Sh, Devesh Upadhyay, Sicun Gao, and Chuchu Fan · 2024
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Generalizable humanoid manipulation with improved 3d diffusion policies
Yanjie Ze, Zixuan Chen, Wenhao Wang, Tianyi Chen, Xialin He, Ying Yuan, Xue Bin Peng, and Jiajun Wu · 2024
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Generalizable humanoid manipulation with improved 3d diffusion policies
Yanjie Ze, Zixuan Chen, Wenhao Wang, Tianyi Chen, Xialin He, Ying Yuan, Xue Bin Peng, and Jiajun Wu · 2024
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