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ICRA 2023

1655 papers · 0 AI summaries · 2023

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823 result(s) for “Model Predictive Control” Page 1 of 17
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Curvature-Aware Model Predictive Contouring Control
Lorenzo Lyons, Laura Ferranti
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Distributed Model Predictive Formation Control with Gait Synchronization for Multiple Quadruped Robots
Shaohang Xu, Wentao Zhang, Lijun Zhu, Chin Pang Ho
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Interaction-Aware Trajectory Planning for Autonomous Vehicles with Analytic Integration of Neural Networks into Model Predictive Control
Piyush Gupta, David Isele, Donggun Lee, Sangjae Bae
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Risk-Aware Model Predictive Path Integral Control Using Conditional Value-At-Risk
Ji Yin, Zhiyuan Zhang, Panagiotis Tsiotras
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Nonlinear Model Predictive Control of a 3D Hopping Robot: Leveraging Lie Group Integrators for Dynamically Stable Behaviors
Noel Csomay-Shanklin, Victor Dorobantu, Aaron Ames
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Autonomous Underwater Docking Using Flow State Estimation and Model Predictive Control
Rakesh Vivekanandan, Geoffrey Hollinger, Dongsik Chang
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Optimal Scheduling of Models and Horizons for Model Hierarchy Predictive Control
Charles Khazoom, Steve Heim, Daniel Gonzalez-Diaz, Sangbae Kim
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Contact Optimization for Non-Prehensile Loco-Manipulation Via Hierarchical Model Predictive Control
Alberto Rigo, Yiyu Chen, Satyandra K. Gupta, Quan Nguyen
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Real-Time Model Predictive Control for Industrial Manipulators with Singularity-Tolerant Hierarchical Task Control
Jaemin Lee, Mingyo Seo, Andrew Bylard, Zhouwen Sun, Luis Sentis
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Dynamic Control Barrier Function-Based Model Predictive Control to Safety-Critical Obstacle-Avoidance of Mobile Robot
Zhuozhu Jian, Zihong Yan, Xuanang Lei, Zihong Lu, Bin Lan, xueqian WANG, Bin Liang
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BiConMP: A Nonlinear Model Predictive Control Framework for Whole Body Motion Planning
Avadesh Meduri, Paarth Shah, Julian Viereck, Majid Khadiv, Ioannis Havoutis, Ludovic Righetti
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Distributed Data-Driven Predictive Control for Multi-Agent Collaborative Legged Locomotion
Randall Fawcett, Leila Amanzadeh, Jeeseop Kim, Aaron Ames, Kaveh Akbari Hamed
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Controlling an Underactuated AUV As an Inverted Pendulum Using Nonlinear Model Predictive Control and Behavior Trees
Sriharsha Bhat, Ivan Stenius
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Interactive Multi-Modal Motion Planning with Branch Model Predictive Control
Yuxiao Chen, Ugo Rosolia, Wyatt Ubellacker, Noel Csomay-Shanklin, Aaron Ames
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OpTaS: An Optimization-based Task Specification Library for Trajectory Optimization and Model Predictive Control
Christopher Edwin Mower, Joao Moura, Nazanin Zamani Behabadi, Sethu Vijayakumar, Tom Vercauteren, Christos Bergeles
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RPGD: A Small-Batch Parallel Gradient Descent Optimizer with Explorative Resampling for Nonlinear Model Predictive Control
Frederik Heetmeyer, Marcin Paluch, Diego Bolliger, Florian Bolli, Xiang Deng, Ennio Filicicchia, Tobi Delbruck
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Model Predictive Contouring Control for Time-Optimal Quadrotor Flight
Romero, Angel,Sun, Sihao,Foehn, Philipp,Scaramuzza, Davide
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Model Predictive Optimized Path Integral Strategies
Dylan Asmar, Ransalu Senanayake, Shawn Manuel, Mykel Kochenderfer
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Handling Sparse Rewards in Reinforcement Learning Using Model Predictive Control
Murad Elnagdi, Nils Dengler, Jorge de Heuvel, Maren Bennewitz
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Data-Driven Risk-Sensitive Model Predictive Control for Safe Navigation in Multi-Robot Systems
Atharva Navsalkar, Ashish Hota
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Real-Time Model Predictive Control and System Identification Using Differentiable Physics Simulation
Sirui Chen, Keenon Werling, Albert Wu, Karen Liu
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Dynamic Locomotion of a Quadruped Robot with Active Spine Via Model Predictive Control
Wanyue Li, Zida Zhou, Hui Cheng
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Deep Predictive Model Learning with Parametric Bias: Handling Modeling Difficulties and Temporal Model Changes
Kento Kawaharazuka, Kei Okada, Masayuki Inaba
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DNN-Based Predictive Model for a Batoid-Inspired Soft Robot
Guangtong Li, Thileepan Stalin, TRUONG VAN TIEN, Pablo Valdivia y Alvarado
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Multi-Agent Spatial Predictive Control with Application to Drone Flocking
Andreas Brandstätter, Scott Smolka, Scott Stoller, Ashish Tiwari, Radu Grosu
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Active Predictive Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems
Alexander Ororbia, Ankur Mali
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Density-Aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields
Niko Sünderhauf, Dimity Miller, Jad Abou-Chakra
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Predictive Runtime Verification of Skill-Based Robotic Systems Using Petri Nets
Baptiste Pelletier, Charles Lesire, Christophe Grand, David Doose, Mathieu ROGNANT
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Efficient Recovery Learning using Model Predictive Meta-Reasoning
Shivam Vats, Maxim Likhachev, Oliver Kroemer
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Structured Motion Generation with Predictive Learning: Proposing Subgoal for Long-Horizon Manipulation
Namiko Saito, Joao Moura, Tetsuya Ogata, Marina Y. Aoyama, Shingo Murata, Shigeki Sugano, Sethu Vijayakumar
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Density Planner: Minimizing Collision Risk in Motion Planning with Dynamic Obstacles Using Density-Based Reachability
Laura Lützow, Yue Meng, Andres Chavez Armijos, Chuchu Fan
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MPC with Sensor-Based Online Cost Adaptation
Avadesh Meduri, Huaijiang Zhu, Armand Jordana, Ludovic Righetti
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Time-Inverted Kuramoto Model Meets Lissajous Curves: Multi-Robot Persistent Monitoring and Target Detection
Manuel Boldrer, Lorenzo Lyons, Luigi Palopoli, Daniele Fontanelli, Laura Ferranti
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RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control
Zhenggang Tang, Balakumar Sundaralingam, Jonathan Tremblay, Bowen Wen, Ye Yuan, Stephen Tyree, Charles Loop, Alexander Schwing, Stan Birchfield
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Deep Occupancy-Predictive Representations for Autonomous Driving
Eivind Meyer, Lars Frederik Peiss, Matthias Althoff
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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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Foot Stepping Algorithm of Humanoids with Double Support Time Adjustment Based on Capture Point Control
Myeong-Ju Kim, Daegyu Lim, Gyeongjae Park, Jaeheung Park
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Real-Time Unified Trajectory Planning and Optimal Control for Urban Autonomous Driving under Static and Dynamic Obstacle Constraints
Rowan Dempster, Mohammad Alsharman, Derek Rayside, William Melek
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Learning Agile Flight Maneuvers: Deep SE(3) Motion Planning and Control for Quadrotors
Yixiao Wang, Bingheng Wang, Shenning Zhang, Han Wei Sia, Lin Zhao
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Deep Reinforcement Learning Based Tracking Control of an Autonomous Surface Vessel in Natural Waters
Wei Wang, Xiaojing Cao, Alejandro Gonzalez-Garcia, Lianhao Yin, Niklas Hagemann, Yuanyuan Qiao, Carlo Ratti, Daniela Rus
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Multi-Agent Path Integral Control for Interaction-Aware Motion Planning in Urban Canals
Lucas Michael Streichenberg, Elia Trevisan, Jen Jen Chung, Roland Siegwart, Javier Alonso-Mora
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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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Cooperative Driving in Mixed Traffic of Manned and Unmanned Vehicles Based on Human Driving Behavior Understanding
Jiaxing Lu, Sanzida Hossain, Weihua Sheng, HE BAI
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Comparison of Model-Based and Model-Free Reinforcement Learning for Real-World Dexterous Robotic Manipulation Tasks
David Patricio Valencia Redrovan, John Jia, Raymond Li, Alex Hayashi, Megan Lecchi, Reuel Terezakis, Trevor Gee, Minas Liarokapis, Bruce MacDonald, Henry Williams
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Loitering and Trajectory Tracking of Suspended Payloads in Cable-Driven Balloons Using UGVs
Julius Wanner, Eric Sihite, Alireza Ramezani, Gharib Morteza
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A Comparative Study of Nonlinear MPC and Differential-Flatness-Based Control for Quadrotor Agile Flight
Sihao Sun, Angel Romero, Philipp Foehn, Elia Kaufmann, Davide Scaramuzza
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Autonomous Drifting with 3 Minutes of Data Via Learned Tire Models
Franck Djeumou, Jon Goh, Ufuk Topcu, Avinash Balachandran
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Hierarchical Adaptive Loco-Manipulation Control for Quadruped Robots
Mohsen Sombolestan, Quan Nguyen
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Versatile Real-Time Motion Synthesis Via Kino-Dynamic MPC with Hybrid-Systems DDP
He Li, Tingnan Zhang, Wenhao Yu, Patrick M. Wensing
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Force Control for Robust Quadruped Locomotion: A Linear Policy Approach
Aditya Shirwatkar, Vamshi Kumar Kurva, Devaraju Vinoda, Aman Singh, Aditya Varma Sagi, Himanshu Lodha, Bhavya Giri Goswami, Shivam Sood, Ketan Nehete, Shishir Kolathaya
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