Jiarong Li
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    • An integrated sensing and communication solar skin for health monitoring and human–machine interaction
    • Poster: Lightwalk: Passive gait recognition via reflected VLC signals
    • Self-powered optical communication: Opportunities, challenges and future prospects
    • 迈向"光载信息"时代
    • CRPE-MViT: An enhanced transformer model with circular relative positional encoding for the condition identification of zinc oxide rotary kiln
    • VLocSense: Integrated VLC system for indoor passive localization and human sensing
    • Enhancing cross-domain data analytics through multi-source transfer learning
    • PowerGest: Self-powered gesture recognition for command input and robotic manipulation
    • Gesture recognition and control based on visible light communication
    • Demo: SolarSense: A self-powered ubiquitous gesture recognition system for industrial human-computer interaction
    • Poster: Real-time material and texture recognition using visible light communication
    • PhD forum abstract: Ubiquitous sensing system for activity and gesture recognition via optical and energy-harvesting technologies
    • Indoor health monitoring with VLC-based passive posture monitoring
    • LiFall: Passive indoor fall detection system based on illumination and visible light communication networks
    • Integrated sensing, lighting and communication based on visible light communication: A review
    • SolareSkin: Self-powered visible light sensing through a solar cell e-skin
    • A triboelectric gait sensor system for human activity recognition and user identification
    • TriboGait: A deep learning enabled triboelectric gait sensor system for human activity recognition and individual identification
    • Sensing beyond itself: Multi-functional use of ubiquitous signals towards wearable applications
    • Triboelectric nanogenerators enabled internet of things: A survey
    • Finite-time distributed event-triggered consensus control for leader-following general linear multi-agent systems
    • Observer-based decentralized event-triggered consensus for leader-following linear multi-agent systems
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  • Projects
    • Baxter Catch Ball
    • Sokoban playing with Baxter

Baxter Catch Ball

May 1, 2018 · 1 min read
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This project develops a Baxter robot system that uses stereo vision and both physical and machine learning models to track and catch a thrown ball, comparing prediction methods to improve precision in dynamic motion planning.

Last updated on May 1, 2018
Robotics
Jiarong Li
Authors
Jiarong Li
PhD Candidate

Sokoban playing with Baxter Dec 1, 2017 →

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