Research Analyzer

ICRA 2023

1655 papers · 0 AI summaries · 2023

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1603 result(s) for “Machine Learning for Robot Control” Page 9 of 33
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COBRA: From Industrial to Medical Surgery with Slender Continuum Robots
David Alatorre, Jose A. Robles-Linares, Matteo Russo, Mohamed A. Elbanna, Samuel Wild, Xin Dong, Abdelkhalick Mohammad, James Kell, andy norton, Dragos Axinte
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Experimental Evaluation of a Method for Improving Experiment Design in Robot Identification
Stefanie Antonia Zimmermann, Martin Enqvist, Svante Gunnarsson, Stig Moberg, Mikael Norrlöf
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WorldGen: A Large Scale Generative Simulator
Chahat Deep Singh, Riya Kumari, Cornelia Fermuller, Nitin Sanket, Yiannis Aloimonos
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Multi-Modal Interactive Perception in Human Control of Complex Objects
Rashida Nayeem, Salah Bazzi, mohsen sadeghi, Reza Sharif Razavian, Dagmar Sternad
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Robot-Assisted Eye-Hand Coordination Training System by Estimating Motion Direction Using Smooth-Pursuit Eye Movements
Xiao Li, Hong Zeng, Chenhua Yang, Aiguo Song
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DDK: A Deep Koopman Approach for Longitudinal and Lateral Control of Autonomous Ground Vehicles
Yongqian Xiao, Xinglong Zhang, Xin Xu, Lu Yang, Junxiang Li
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Achieving Extensive Trajectory Variation in Impulsive Robotic Systems
Luis Viornery, Chloe Goode, Gregory Sutton, Sarah Bergbreiter
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Morphological Characteristics That Enable Stable and Efficient Walking in Hexapod Robot Driven by Reflex-Based Intra-Limb Coordination
Wataru Sato, Jun Nishii, Mitsuhiro Hayashibe, Dai Owaki
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Dual Quaternion Based Dynamic Movement Primitives to Learn Industrial Tasks Using Teleoperation
Rohit Chandra, Victor Henri Giraud, Mohammad Alkhatib, Youcef Mezouar
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An Architecture for Reactive Mobile Manipulation On-The-Move
Ben Burgess-Limerick, Christopher Lehnert, Jurgen Leitner, Peter Corke
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Visual Affordance Prediction for Guiding Robot Exploration
Homanga Bharadhwaj, Abhinav Gupta, Shubham Tulsiani
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Weighted Maximum Likelihood for Controller Tuning
Angel Romero, Shreedhar Govil, Gonca Yilmaz, Yunlong Song, Davide Scaramuzza
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Telerobot Operators Can Account for Varying Transmission Dynamics in a Visuo-Haptic Object Tracking Task
Mohit Singhala, Jeremy DeLaine Brown
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MPC with Sensor-Based Online Cost Adaptation
Avadesh Meduri, Huaijiang Zhu, Armand Jordana, Ludovic Righetti
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NESM-Gamma: An Upper-Limb Exoskeleton with Compliant Actuators for Clinical Deployment
Jun Pan, Davide Astarita, Andrea Baldoni, Filippo Dell'Agnello, Simona Crea, Nicola Vitiello, Emilio Trigili
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Autonomous Intelligent Navigation for Flexible Endoscopy Using Monocular Depth Guidance and 3-D Shape Planning
Yiang Lu, ruofeng wei, Bin LI, Wei Chen, Jianshu Zhou, Qi Dou, Dong Sun, Yunhui Liu
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Safe Operations of an Aerial Swarm Via a Cobot Human Swarm Interface
Sydrak Abdi, Derek Paley
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Controlling Collision-Induced Aggregations in a Swarm of Micro Bristle-Robots
Zhijian Hao, Siddharth Mayya, Gennaro Notomista, Seth Hutchinson, Magnus Egerstedt, Azadeh Ansari
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DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning
I Made Aswin Nahrendra, Byeongho Yu, Hyun Myung
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Differential Dynamic Programming with Nonlinear Safety Constraints under System Uncertainties
Gokhan Alcan, Ville Kyrki
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Sample-Efficient Goal-Conditioned Reinforcement Learning Via Predictive Information Bottleneck for Goal Representation Learning
qiming zou, Einoshin Suzuki
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FOGL: Federated Object Grasping Learning
Seok-Kyu Kang, Changhyun Choi
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Using Learning Curve Predictions to Learn from Incorrect Feedback
Taylor Kessler Faulkner, Andrea Lockerd Thomaz
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Estimating Tactile Models of Heterogeneous Deformable Objects in Real Time
Shaoxiong Yao, Kris Hauser
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Grey-Box Learning of Adaptive Manipulation Primitives for Robotic Assembly
Marco Braun, Sebastian Wrede
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Learned Risk Metric Maps for Kinodynamic Systems
Ross Allen, Wei Xiao, Daniela Rus
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A Dual-Arm Participated Human-Robot Collaboration Method for Upper Limb Rehabilitation of Hemiplegic Patients
Lufeng Chen, Jing Qiu, Xuan Zou, Hong Cheng
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Guided Reinforcement Learning � A Review and Evaluation for Efficient and Effective Real-World Robotics
Julian Eßer, Nicolas Bach, Christian Jestel, Oliver Urbann, Sören Kerner
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Sample-Driven Connectivity Learning for Motion Planning
Sihui Li, Neil Dantam
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SEIL: Simulation-augmented Equivariant Imitation Learning
Mingxi Jia, Dian Wang, Guanang Su, David Klee, Xupeng Zhu, Robin Walters, Robert Platt
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Collaborative Scheduling with Adaptation to Failure for Heterogeneous Robot Teams
Peng Gao, SRIRAM SIVA, Anthony Micciche, Hao Zhang
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Obscuring Objectives with Pareto-Optimal Privacy-Aware Trajectories in Multi-Robot Coverage
Brennan Brodt, Alyssa Pierson
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Learning to Forecast Aleatoric and Epistemic Uncertainties Over Long Horizon Trajectories
Aastha Acharya, Rebecca Russell, Nisar Ahmed
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Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning
Abraham George, Alison Bartsch, Amir Barati Farimani
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Generating a Terrain-Robustness Benchmark for Legged Locomotion: A Prototype Via Terrain Authoring and Active Learning
Chong Zhang, Lizhi Yang
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Using Memory-Based Learning to Solve Tasks with State-Action Constraints
Mrinal Verghese, Christopher Atkeson
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Demonstration-Bootstrapped Autonomous Practicing Via Multi-Task Reinforcement Learning
Abhishek Gupta, Corey Lynch, Brandon Kinman, Garrett Peake, Sergey Levine, Karol Hausman
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Visuo-Tactile Recognition of Partial Point Clouds Using PointNet and Curriculum Learning
Christopher Parsons, Alessandro Albini, Daniele De Martini, Perla Maiolino
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Reinforcement Learning-Based Optimal Multiple Waypoint Navigation
Christos Vlachos, Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos
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SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments
Arec Jamgochian, Etienne Buehrle, Johannes Fischer, Mykel Kochenderfer
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Learning Generalizable Pivoting Skills
Xiang Zhang, Siddarth Jain, Baichuan Huang, Masayoshi Tomizuka, Diego Romeres
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Image-Based Pose Estimation and Shape Reconstruction for Robot Manipulators and Soft, Continuum Robots via Differentiable Rendering
Jingpei Lu, FEI LIU, Cedric Girerd, Michael C. Yip
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Expanding the Deployment Envelope of Behavior Prediction Via Adaptive Meta-Learning
Boris Ivanovic, James Harrison, Marco Pavone
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SEER: Safe Efficient Exploration for Aerial Robots Using Learning to Predict Information Gain
Yuezhan Tao, Yuwei Wu, Beiming Li, Fernando Cladera Ojeda, Alex Zhou, Dinesh Thakur, Vijay Kumar
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Efficient Learning of High Level Plans from Play
NÃoria Armengol Urpí, Marco Bagatella, Otmar Hilliges, Georg Martius, Stelian Coros
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Developing Cooperative Policies for Multi-Stage Reinforcement Learning Tasks
Jordan Erskine, Christopher Lehnert
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Joint Semi-Supervised and Active Learning Via 3D Consistency for 3D Object Detection
Sihwan Hwang, Sanmin Kim, YoungSeok Kim, Dongsuk Kum
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Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning
Zheng Wu, Yichen Xie, Wenzhao Lian, Changhao Wang, Yanjiang Guo, Jianyu Chen, Stefan Schaal, Masayoshi Tomizuka
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A Micro Aircraft with Passive Variable-Sweep Wings
Songnan Bai, Runze Ding, Pakpong Chirarattananon
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Adaptive and Explainable Deployment of Navigation Skills Via Hierarchical Deep Reinforcement Learning
Kyowoon Lee, Seongun Kim, Jaesik Choi
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