EV-Catcher: High-Speed Object Catching Using Low-Latency Event-Based Neural Networks

Author:

Wang Ziyun1ORCID,Ojeda Fernando Cladera1ORCID,Bisulco Anthony1ORCID,Lee Daewon2,Taylor Camillo J.1ORCID,Daniilidis Kostas1ORCID,Hsieh M. Ani1ORCID,Lee Daniel D.2ORCID,Isler Volkan2ORCID

Affiliation:

1. GRASP Laboratory, University of Pennsylvania, Philadelphia, PA, USA

2. Samsung AI Center, New York, NY, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Learning to Catch Reactive Objects with a Behavior Predictor;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. EV-Planner: Energy-Efficient Robot Navigation via Event-Based Physics-Guided Neuromorphic Planner;IEEE Robotics and Automation Letters;2024-03

3. EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

4. Fast Trajectory End-Point Prediction with Event Cameras for Reactive Robot Control;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

5. TTCDist: Fast Distance Estimation From an Active Monocular Camera Using Time-to-Contact;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29

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