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ICRA 2024

2337 papers · 0 AI summaries · 2024

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1432 result(s) for “Bioinspired Robot Learning” Page 8 of 29
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Beyond NeRF Underwater: Learning Neural Reflectance Fields for True Color Correction of Marine Imagery
Tianyi Zhang, Matthew Johnson-Roberson
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NFL: Normal Field Learning for 6-DoF Grasping of Transparent Objects
Junho Lee, Sang Min Kim, Yonghyeon Lee, Young Min Kim
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Safe Reinforcement Learning with Dead-Ends Avoidance and Recovery
xiao zhang, Hai Zhang, Hongtu Zhou, Chang Huang, Di Zhang, Chen Ye, Junqiao Zhao
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Differentially Encoded Observation Spaces for Perceptive Reinforcement Learning
Lev Grossman, Brian Plancher
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Enhancing Task Performance of Learned Simplified Models Via Reinforcement Learning
Hien Bui, Michael Posa
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Multi-Task Learning for Real-Time Autonomous Driving Leveraging Task-Adaptive Attention Generator
Wonhyeok Choi, Mingyu Shin, HYUKZAE LEE, Jaehoon Cho, Jaehyeon Park, Sunghoon Im
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Task-Oriented Active Learning of Model Preconditions for Inaccurate Dynamics Models
Alex LaGrassa, Moonyoung Lee, Oliver Kroemer
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Active Learning with Dual Model Predictive Path-Integral Control for Interaction-Aware Autonomous Highway On-Ramp Merging
Jacob Knaup, Jovin D'sa, Behdad Chalaki, Tyler Naes, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Panagiotis Tsiotras
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Perception-And-Energy-Aware Motion Planning for UAV Using Learning-Based Model under Heteroscedastic Uncertainty
Reiya Takemura, Genya Ishigami
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Residual-NeRF : Learning Residual NeRFs for Transparent Object Manipulation
Bart Duisterhof, Yuemin Mao, Si Heng Teng, Jeffrey Ichnowski
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Sim-To-Real Object Pose Estimation for Random Bin Picking
Boyoung Kim, Junhong Min
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Learning Heterogeneous Multi-Agent Allocations for Ergodic Search
Ananya Rao, Guillaume Adrien Sartoretti, Howie Choset
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Towards Learning-Based Planning: The nuPlan Benchmark for Real-World Autonomous Driving
Napat Karnchanachari, Dimitris Geromichalos, Kok Seang Tan, Nanxiang Li, Christopher Eriksen, Shakiba Yaghoubi, Noushin Mehdipour, Gianmarco Bernasconi, Whye Kit Fong, Yiluan Guo, Holger Caesar
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One-Shot Learning for Task-Oriented Grasping
Valerija Holomjova, Andrew Starkey, Bruno Yun, Pascal Meißner
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Learning Which Side to Scan: Multi-View Informed Active Perception with Side Scan Sonar for Autonomous Underwater Vehicles
Advaith Venkatramanan Sethuraman, Philip Baldoni, Katherine Skinner, James McMahon
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Sim-Suction: Learning a Suction Grasp Policy for Cluttered Environments Using a Synthetic Benchmark
Juncheng Li, David Cappelleri
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Breaking Data Silos: Cross-Domain Learning for Multi-Agent Perception from Independent Private Sources
Jinlong Li, Baolu Li, Xinyu Liu, Runsheng Xu, Jiaqi Ma, Hongkai Yu
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N2M2: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments
Daniel Honerkamp, Tim Welschehold, Abhinav Valada
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Harnessing the Synergy between Pushing, Grasping, and Throwing to Enhance Object Manipulation in Cluttered Scenarios
Hamidreza Kasaei, Mohammadreza Kasaei
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Learning Distributional Demonstration Spaces for Task-Specific Cross-Pose Estimation
Jenny Wang, Octavian Donca, David Held
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You Only Label Once: 3D Box Adaptation from Point Cloud to Image with Semi-Supervised Learning
Jieqi Shi, Peiliang LI, Xiaozhi Chen, Shaojie Shen
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Dynamic Object Classification of Low-Resolution Point Clouds: An LSTM-Based Ensemble Learning Approach
Shaoming Zhang, Tangjun Yao, Jianmei Wang, Tiantian Feng, Zhong Wang
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Deep Learning Based Acoustic Measurement Approach for Robotic Applications on Orthopedics
Bangyu Lan, Momen Abayazid, Nico Verdonschot, Stefano Stramigioli, Kenan Niu
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Self-supervised Learning for Joint Pushing and Grasping Policies in Highly Cluttered Environments
Yongliang Wang, Kamal Mokhtar, Cock Heemskerk, Hamidreza Kasaei
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Adaptive Planning and Control with Time-Varying Tire Models for Autonomous Racing Using Extreme Learning Machine
Dvij Kalaria, Qin Lin, John M. Dolan
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Safety Optimized Reinforcement Learning Via Multi-Objective Policy Optimization
Homayoun Honari, Mehran Ghafarian Tamizi, Homayoun Najjaran
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Learning Temporal Cues by Predicting Objects Move for Multi-Camera 3D Object Detection
Seokha Moon, Hongbeen Park, Jaekoo Lee, Jinkyu Kim
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Learning with Chemical versus Electrical Synapses - Does It Make a Difference?
Monika Farsang, Mathias Lechner, David Lung, Ramin Hasani, Daniela Rus, Radu Grosu
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Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network
Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu
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Scaling Team Coordination on Graphs with Reinforcement Learning
Manshi Limbu, Zechen Hu, Xuan Wang, Daigo Shishika, Xuesu Xiao
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Learn to Navigate in Dynamic Environments with Normalized LiDAR Scans
Wei Zhu, Mitsuhiro Hayashibe
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SONIC: Sonar Image Correspondence Using Pose Supervised Learning for Imaging Sonars
Samiran Gode, Akshay Hinduja, Michael Kaess
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CVFormer: Learning Circum-View Representation and Consistency Constraints for Vision-Based Occupancy Prediction Via Transformers
Zhengqi Bai, Wenjun Shi, Dongchen Zhu, HanLong Kang, Guanghui Zhang, Gang Ye, Yang Xiao, Lei Wang, Xiaolin Zhang, bo Li, Jiamao Li
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AllSight: A Low-Cost and High-Resolution round Tactile Sensor with Zero-Shot Learning Capability
Osher Azulay, Nimrod Curtis, Rotem Sokolovsky, Guy Levistky, Daniel Slomovik, Guy Lilling, Avishai Sintov
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Learning Multi-Scale Context Mask-RCNN Network for Slant Angled Aerial Imagery in Instance Segmentation Using Sim2Real
Qiranul Saadiyean, Samprithi S P, Suresh Sundaram
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MEDL-U: Uncertainty-Aware 3D Automatic Annotation Based on Evidential Deep Learning
Helbert Paat, Qing Lian, Weilong Yao, Tong Zhang
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3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds
Junsheng Zhou, Xin Wen, Baorui Ma, Yu-Shen Liu, Yue Gao, Yi Fang, Zhizhong Han
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LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery
Kexin Chen, Du Yuyang, Tao You, Mobarakol Islam, Ziyu Guo, YUEMING Jin, Guangyong Chen, Pheng Ann Heng
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LiDAR-Based Online Control Barrier Function Synthesis for Safe Navigation in Unknown Environments
Shaghayegh Keyumarsi, Made Widhi Surya Atman, Azwirman Gusrialdi
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Semi-Supervised Learning for Visual Bird's Eye View Semantic Segmentation
Junyu Zhu, Lina Liu, Yu Tang, Feng Wen, wanlong li, Yong Liu
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Toward Self-Righting and Recovery in the Wild: Challenges and Benchmarks
Rosario Scalise, Ege Caglar, Byron Boots, Chad C. Kessens
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Learning-Based Model Predictive Control for an Autonomous Formula Student Racing Car
David Gomes, Miguel Botto, Pedro U. Lima
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GAMMA: Graspability-Aware Mobile MAnipulation Policy Learning Based on Online Grasping Pose Fusion
Jiazhao Zhang, Gireesh Nandiraju, Jilong Wang, Xiaomeng Fang, Chaoyi Xu, Weiguang Chen, Liu Dai, He Wang
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Watching the Air Rise: Learning-Based Single-Frame Schlieren Detection
Florian Achermann, Julian Andreas Haug, Tobias Zumsteg, Nicholas Lawrance, Jen Jen Chung, Andrey Kolobov, Roland Siegwart
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Learning-Aided Control of Robotic Tether-Net with Maneuverable Nodes to Capture Large Space Debris
Achira Boonrath, Feng Liu, Eleonora Botta, Souma Chowdhury
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Implicit Learning of Scene Geometry from Poses for Global Localization
Mohammad Altillawi, Shile Li, Sai Manoj Prakhya, Ziyuan Liu, Joan Serrat
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ViPlanner: Visual Semantic Imperative Learning for Local Navigation
Pascal Roth, Julian Nubert, Fan Yang, Mayank Mittal, Marco Hutter
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Learning Manipulation of Steep Granular Slopes for Fast Mini Rover Turning
Deniz Kerimoglu, Daniel Soto, Malone Lincoln Hemsley, Joseph Brunner, Sehoon Ha, Tingnan Zhang, Daniel Goldman
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Approximate Multiagent Reinforcement Learning for On-Demand Urban Mobility Problem on a Large Map
Daniel Garces, Sushmita Bhattacharya, Dimitri Bertsekas, Stephanie Gil
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Language-Conditioned Affordance-Pose Detection in 3D Point Clouds
Tien Toan Nguyen, Minh Nhat Vu, Baoru Huang, Tuan Van Vo, Thuy Tuong Vy Truong, Ngan Le, Thieu Vo, Hoai Bac Le, Anh Nguyen
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