Mingjie Lin

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研究焦点

主要成就

代表论文

1. 1
   APEX: Ambidextrous Dual-Arm Robotic Manipulation Using Collision-Free Generative Diffusion Models

   9 次引用 · 2024
2. 2
   DAMON: Dynamic Amorphous Obstacle Navigation using Topological Manifold Learning and Variational Autoencoding

   8 次引用 · 2023
3. 3
   Constructive Policy: Reinforcement Learning Approach for Connected Multi-Agent Systems

   6 次引用 · 2019
4. 4
   RETRO: Reactive Trajectory Optimization for Real-Time Robot Motion Planning in Dynamic Environments

   5 次引用 · 2024
5. 5
   Unified Control Framework for Real-Time Interception and Obstacle Avoidance of Fast-Moving Objects with Diffusion Variational Autoencoder

   3 次引用 · 2024
6. 6
   Survivable Robotic Control through Guided Bayesian Policy Search with Deep Reinforcement Learning

   2 次引用 · 2021
7. 7
   Developmentally Synthesizing Earthworm-Like Locomotion Gaits with Bayesian-Augmented Deep Deterministic Policy Gradients (DDPG)

   2 次引用 · 2020
8. 8
   Policy Reuse in Reinforcement Learning for Modular Agents

   2 次引用 · 2019
9. 9
   FPGA-QHAR: Throughput-Optimized for Quantized Two-Stream Human Action Recognition on the Edge

   1 次引用 · 2023
10. 10
    A Comprehensive Analysis of Path Planning Strategies Employed for Mobile Robots

    1 次引用 · 2024

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