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2331 result(s) for “and Learning for Soft Robots” Page 10 of 47
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Self-Supervised Learning of Monocular Visual Odometry and Depth with Uncertainty-Aware Scale Consistency
Changhao Wang, Guanwen Zhang, Wei Zhou
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Dynamic Crane Scheduling with Reinforcement Learning for a Steel Coil Warehouse
Sang-Hyun Cho, Woo-Jin Shin, Jeongsun Ahn, Sanghyun Joo, Hyun-Jung Kim
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Learning Emergent Gaits with Decentralized Phase Oscillators: On the Role of Observations, Rewards, and Feedback
Jenny Zhang, Steve Heim, Se Hwan Jeon, Sangbae Kim
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Pedestrian Trajectory Prediction Using Dynamics-Based Deep Learning
Honghui Wang, Weiming Zhi, Gustavo Batista, Rohitash Chandra
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The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation
Jan Ole von Hartz, Eugenio Chisari, Tim Welschehold, Wolfram Burgard, Joschka Boedecker, Abhinav Valada
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Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control
Alessandro Saviolo, Jonathan Frey, Abhishek Rathod, Moritz Diehl, Giuseppe Loianno
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Convergent iLQR for Safe Trajectory Planning and Control of Legged Robots
James Zhu, J. Joe Payne, Aaron M. Johnson
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SpawnNet: Learning Generalizable Visuomotor Skills from Pre-Trained Network
Xingyu Lin, John Ian So, Sashwat Mahalingam, Fangchen Liu, Pieter Abbeel
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MORPH: Design Co-Optimization with Reinforcement Learning Via a Differentiable Hardware Model Proxy
Zhanpeng He, Matei Ciocarlie
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Robotic Offline RL from Internet Videos Via Value-Function Learning
Chethan Bhateja, Derek Guo, Dibya Ghosh, Anikait Singh, Manan Tomar, Quan Vuong, Yevgen Chebotar, Sergey Levine, Aviral Kumar
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Learning Contact for Haptic Feedback: Switching X-Lateral Teleoperators
Nural Yilmaz, Ugur Tumerdem
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Fast Task Allocation of Heterogeneous Robots with Temporal Logic and Inter-Task Constraints
Lin Li, Ziyang Chen, Hao Wang, Zhen Kan
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Expert Composer Policy: Scalable Skill Repertoire for Quadruped Robots
Guilherme Henrique Galelli Christmann, Ying-Sheng Luo, Wei-Chao Chen
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V-STRONG: Visual Self-Supervised Traversability Learning for Off-Road Navigation
Sanghun Jung, JoonHo Lee, Xiangyun Meng, Byron Boots, Alexander Lambert
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Sensorless Estimation of Contact Using Deep-Learning for Human-robot Interaction
Shilin Shan, Quang-Cuong Pham
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Robots That Can See: Leveraging Human Pose for Trajectory Prediction
Tim Salzmann, Hao-Tien Chiang, Markus Ryll, Dorsa Sadigh, Carolina Parada, Alex Bewley
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NetLfD: Network-Aware Learning from Demonstration for In-Contact Skills Via Teleoperation
Başak Güleçyüz, Vincent von Büren, Xiao Xu, Eckehard Steinbach
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An Environmental-Complexity-Based Navigation Method Based on Hierarchical Deep Reinforcement Learning
Pengbin Chen, Qi Liu, Yanjie Li, Shuaikang Ma
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Global tracking control for car-like mobile robots with zero-crossing driving velocity
Kai Yan
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Translational Disturbance Rejection for Jet-Actuated Flying Continuum Robots on Mobile Bases
Yukihiro Maezawa, Yuichi Ambe, Yu Yamauchi, Masashi Konyo, Kenjiro Tadakuma, Satoshi Tadokoro
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Dual-Critic Deep Reinforcement Learning for Push-Grasping Synergy in Cluttered Environment
Jiakang Zhong, Yew Wee Wong, Jiong Jin, yong song, Xianfeng Yuan, Xiaoqi Chen
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Robust and Remote Center of Cyclic Motion Control for Redundant Robots with Partially Unknown Structure
Long Jin, Kun Liu, Mei Liu
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Learning Language-Conditioned Deformable Object Manipulation with Graph Dynamics
Yuhong Deng, Kai Mo, Chongkun XIA, xueqian WANG
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Uncertainty-Aware Reinforcement Learning for Autonomous Driving with Multimodal Digital Driver Guidance
Wenhui Huang, Zitong Shan, Shanhe Lou, Chen Lv
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SMUG Planner: A Safe Multi-Goal Planner for Mobile Robots in Challenging Environments
Changan Chen, Jonas Frey, Philip Arm, Marco Hutter
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RIDE: Self-Supervised Learning of Rotation-Equivariant Keypoint Detection and Invariant Description for Endoscopy
Mert Asim Karaoglu, Viktoria Markova, Nassir Navab, Benjamin Busam, Alexander Ladikos
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Conformal Policy Learning for Sensorimotor Control under Distribution Shifts
Huang Huang, Satvik Sharma, Antonio Loquercio, Anastasios Angelopoulos, Ken Goldberg, Jitendra Malik
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Utilizing a Malfunctioning 3D Printer by Modeling Its Dynamics with Machine Learning
Renzo Caballero, Piotr Piękos, Eric Feron, Jurgen Schmidhuber
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Integrating Predictive Motion Uncertainties with Distributionally Robust Risk-Aware Control for Safe Robot Navigation in Crowds
Kanghyun Ryu, Negar Mehr
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An Electromagnetism-Inspired Method for Estimating In-Grasp Torque from Visuotactile Sensors
Yuni Fuchioka, Masashi Hamaya
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Learning Off-Road Terrain Traversability with Self-Supervisions Only
Junwon Seo, Sungdae Sim, Inwook Shim
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Learning Adaptive Safety for Multi-Agent Systems
Luigi Berducci, Shuo Yang, Rahul Mangharam, Radu Grosu
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Learning Vision-Based Pursuit-Evasion Robot Policies
Andrea Bajcsy, Antonio Loquercio, Ashish Kumar, Jitendra Malik
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Learning-Aided Warmstart of Model Predictive Control in Uncertain Fast-Changing Traffic
Mohamed-Khalil Bouzidi, Yue Yao, Joerg Reichardt, Daniel Goehring
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BaSAL: Size Balanced Warm Start Active Learning for LiDAR Semantic Segmentation
Jiarong WEI, Yancong Lin, Holger Caesar
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Sense in Motion with Belief Clustering: Efficient Gas Source Localization with Mobile Robots
Wanting Jin, Alcherio Martinoli
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Learning a Stable Dynamic System with a Lyapunov Energy Function for Demonstratives Using Neural Networks
Yu Zhang, Yongxiang Zou, Haoyu Zhang, Xiuze Xia, Long Cheng
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Improving the Generalization of Unseen Crowd Behaviors for Reinforcement Learning Based Local Motion Planners
wen zheng terence ng, jianda chen, Sinno Jialin Pan, Tianwei Zhang
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Tree Instance Segmentation and Traits Estimation for Forestry Environments Exploiting LiDAR Data Collected by Mobile Robots
Meher Venkata Ramakrishna Malladi, Tiziano Guadagnino, Luca Lobefaro, Matias Mattamala, Holger Griess, Janine Schweier, Nived Chebrolu, Maurice Fallon, Jens Behley, Cyrill Stachniss
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K-VIL: Keypoints-Based Visual Imitation Learning
Jianfeng Gao, Zhi Tao, Noémie Jaquier, Tamim Asfour
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Projection-Based Fast and Safe Policy Optimization for Reinforcement Learning
Shijun Lin, Hao Wang, Ziyang Chen, Zhen Kan
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Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation
Annie Xie, Lisa Lee, Ted Xiao, Chelsea Finn
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Sim2Real Manipulation on Unknown Objects with Tactile-Based Reinforcement Learning
Entong Su, Chengzhe Jia, Yuzhe Qin, Wenxuan Zhou, Annabella Macaluso, Binghao Huang, Xiaolong Wang
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TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks
Matthew Sivaprakasam, Parv Maheshwari, Mateo Guaman Castro, Samuel Triest, Micah Nye, Steven Willits, Andrew Saba, Wenshan Wang, Sebastian Scherer
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QuadricsNet: Learning Concise Representation for Geometric Primitives in Point Clouds
Ji Wu, Huai Yu, Wen Yang, Gui-Song Xia
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Sim-To-Real Learning for Humanoid Box Loco-Manipulation
Jeremy Dao, Helei Duan, Alan Fern
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Adapting to the �Open World�: The Utility of Hybrid Hierarchical Reinforcement Learning and Symbolic Planning
Pierrick Lorang, Horvath Helmut, Tobias Kietreiber, Patrik Zips, Clemens Heitzinger, Matthias Scheutz
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Remote Control of Untethered Magnetic Robots within a Lumen Using X-Ray-Guided Robotic Platform
Leendert-Jan Wouter Ligtenberg, Nicole Christina Antoinetta Rabou, Sander Lars Peters, Trishal Sai Srinivas Vengetela, Schut Vincent, Herman Remco Liefers, Michiel Warle, Islam S.M. Khalil
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Unraveling the Single Tangent Space Fallacy: An Analysis and Clarification for Applying Riemannian Geometry in Robot Learning
Noémie Jaquier, Leonel Rozo, Tamim Asfour
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Bi-KVIL: Keypoints-Based Visual Imitation Learning of Bimanual Manipulation Tasks
Jianfeng Gao, Xiaoshu Jin, Franziska Krebs, Noémie Jaquier, Tamim Asfour
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