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2273 result(s) for “Machine Learning for Robot Control” Page 13 of 46
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Wearable Haptics for a Marionette-inspired Teleoperation of Highly Redundant Robotic Systems
Davide Torielli, Leonardo Franco, Maria Pozzi, Luca Muratore, Monica Malvezzi, Nikos Tsagarakis, Domenico Prattichizzo
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SEQUEL: Semi-Supervised Preference-Based RL with Query Synthesis Via Latent Interpolation
Daniel Marta, Simon Holk, Christian Pek, Iolanda Leite
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CITR: A Coordinate-Invariant Task Representation for Robotic Manipulation
Peter So, Rafael Ignacio Cabral Muchacho, Robin Jeanne Kirschner, Abdalla Swikir, Luis Figueredo, Fares Abu-Dakka, Sami Haddadin
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Adaptive Haptic Control Interface for Safeguarding Robotic Teleoperation in Hazardous Steelmaking Environments
Jaehyun Park, IL SEOP CHOI, Sang-Woo Choi, Keehoon Kim
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A Wearable Robotic Hand for Hand-Over-Hand Imitation Learning
Dehao Wei, Huazhe Xu
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Design and Analysis of Soft Hybrid-Driven Manipulator with Variable Stiffness and Multiple Motion Patterns
Xin Fu, Daohui Zhang, Liyan Mo, Kai Li, Xingang Zhao
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Inter-Finger Small Object Manipulation with DenseTact Optical Tactile Sensor
Won Kyung Do, Bianca Aumann, Camille Chungyoun, Monroe Kennedy
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Robust Feedback Quadratic Programming for Kinematic-Controlled Robots
Mohamed Djeha, Pierre Gergondet, Abderrahmane Kheddar
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POAQL: A Partially Observable Altruistic Q-Learning Method for Cooperative Multi-Agent Reinforcement Learning
Lesong Tao, miao kang, Jinpeng Dong, Songyi Zhang, Ke Ye, Shitao Chen, Nanning Zheng
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Millimeter-Level Pick and Peg-In-Hole Task Achieved by Aerial Manipulator
Meng Wang, Zeshuai Chen, Kexin Guo, Xiang Yu, Youmin Zhang, Lei Guo, Wei Wang
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Untethered Bimodal Robotic Fish with Tunable Bistability
Xu Chao, Imran Hameed, David Navarro-Alarcon, Xingjian Jing
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Safe Networked Robotics with Probabilistic Verification
Sai Shankar Narasimhan, Sharachchandra Bhat, Sandeep Chinchali
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DexDLO: Learning Goal-Conditioned Dexterous Policy for Dynamic Manipulation of Deformable Linear Objects
Sun Zhaole, Jihong Zhu, Robert Fisher
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Learning a Flexible Neural Energy Function with a Unique Minimum for Globally Stable and Accurate Demonstration Learning
Zhehao Jin, WEIYONG SI, Andong Liu, Wen-An Zhang, Li Yu, Chenguang Yang
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Extreme Parkour with Legged Robots
Xuxin Cheng, Kexin Shi, Ananye Agarwal, Deepak Pathak
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Towards Generalizable Zero-Shot Manipulation Via Translating Human Interaction Plans
Homanga Bharadhwaj, Abhinav Gupta, Vikash Kumar, Shubham Tulsiani
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MIntNet: Rapid Motion Intention Forecasting of Coupled Human-Robot Systems with Simulation-To-Real Autoregressive Neural Networks
John Atkins, Hyunglae Lee
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Constrained Nonlinear Disturbance Observer for Robotic Systems
Ji Wan Han, Daehyung Park, Min Jun Kim
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VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference
Soumya Banerjee, Vinay Kumar Verma, Avideep Mukherjee, DEEPAK GUPTA, Vinay Namboodiri, Piyush Rai
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RETRO: Reactive Trajectory Optimization for Real-Time Robot Motion Planning in Dynamic Environments
Apan Dastider, Hao Fang, Lin Mingjie
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SocialGAIL: Faithful Crowd Simulation for Social Robot Navigation
Bo Ling, Yan Lyu, Dongxiao Li, Guanyu Gao, Yi Shi, Xueyong Xu, Weiwei Wu
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AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset
Dongsu Lee, Chanin Eom, Minhae Kwon
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A Simple Computationally Efficient Path ILC for Industrial Robotic Manipulators
Michael Schwegel, Andreas Kugi
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CrossVideo: Self-Supervised Cross-Modal Contrastive Learning for Point Cloud Video Understanding
Yunze Liu, Changxi Chen, Zifan Wang, Li Yi
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Learning Needle Pick-And-Place without Expert Demonstrations
Rokas Bendikas, Valerio Modugno, Dimitrios Kanoulas, Francisco Vasconcelos, Danail Stoyanov
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An Offline Learning of Behavior Correction Policy for Vision-Based Robotic Manipulation
Qingxiuxiong Dong, Toshimitsu Kaneko, Masashi Sugiyama
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Efficient Multi-Task and Transfer Reinforcement Learning with Parameter-Compositional Framework
Lingfeng Sun, Haichao Zhang, Wei Xu, Masayoshi Tomizuka
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A Tube-Based Reinforcement Learning Approach for Optimal Motion Planning in Unknown Workspaces
Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos
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Uncertainty-Driven Exploration Strategies for Online Grasp Learning
Yitian Shi, Philipp Schillinger, Miroslav Gabriel, Alexander Qualmann, Hanna Ziesche, Zohar Feldman, Ngo Anh Vien
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An Efficient Model Based Approach on Learning Agile Motor Skills without Reinforcement
Haojie Shi, Tingguang Li, Qingxu Zhu, Jiapeng Sheng, Lei Han, Max Q.-H. Meng
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Sensorless Transparency Optimized Haptic Teleoperation on the Da Vinci Research Kit
Nural Yilmaz, Brendan Burkhart, Anton Deguet, Peter Kazanzides, Ugur Tumerdem
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Distributional Reinforcement Learning with Sample-Set Bellman Update
Weijian Zhang, Jianshu Wang, Yu Yang
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Under Pressure: Learning-Based Analog Gauge Reading in the Wild
Maurits Reitsma, Julian Keller, Kenneth Blomqvist, Roland Siegwart
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Probabilistic Spiking Neural Network for Robotic Tactile Continual Learning
Senlin Fang, Yi Wen Liu, Chengliang Liu, Jingnan Wang, Yuanzhe Su, Yupo Zhang, Hoiio Kong, Zhengkun Yi, Xinyu Wu
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Benchmarking Classical and Learning-Based Multibeam Point Cloud Registration
Li Ling, Jun Zhang, Nils Bore, John Folkesson, Anna Wåhlin
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Cross Domain Policy Transfer with Effect Cycle-Consistency
Ruiqi Zhu, Tianhong Dai, Oya Celiktutan
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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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Learning to Predict Navigational Patterns from Partial Observations
Robin Karlsson, Alexander Carballo, Francisco Lepe-Salazar, Keisuke Fujii, Kento Ohtani, Kazuya Takeda
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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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Closing the Perception-Action Loop for Semantically Safe Navigation in Semi-Static Environments
Jingxing Qian, Siqi Zhou, Nicholas Ren, Veronica Chatrath, Angela P. Schoellig
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Development of Variable Transmission Series Elastic Actuator for Hip Exoskeletons
Tianci Wang, Hao Wen, Zaixin Song, Zhiping Dong, Chunhua Liu
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Exploiting Transformer in Sparse Reward Reinforcement Learning for Interpretable Temporal Logic Motion Planning
Hao Zhang, Hao Wang, Zhen Kan
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Uncertainty-Aware Hybrid Paradigm of Nonlinear MPC and Model-Based RL for Offroad Navigation: Exploration of Transformers in the Predictive Model
Faraz Lotfi, Khalil Virji, Farnoosh Faraji, Lucas Berry, Andrew Holliday, David Paul Meger, Gregory Dudek
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Projected Task-Specific Layers for Multi-Task Reinforcement Learning
Josselin Somerville Roberts, Julia Di
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Learning Contact for Haptic Feedback: Switching X-Lateral Teleoperators
Nural Yilmaz, Ugur Tumerdem
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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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An Environmental-Complexity-Based Navigation Method Based on Hierarchical Deep Reinforcement Learning
Pengbin Chen, Qi Liu, Yanjie Li, Shuaikang Ma
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