Search Results - "Luo, Jianlan"

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  1. 1

    Disaster Precursor Identification and Early Warning of the Lishanyuan Landslide Based on Association Rule Mining by Xu, Junwei, Bai, Dongxin, He, Hongsheng, Luo, Jianlan, Lu, Guangyin

    Published in Applied sciences (01-12-2022)
    “…It is the core prerequisite of landslide warning to mine short-term deformation patterns and extract disaster precursors from real-time and multi-source…”
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    Journal Article
  2. 2

    Tensegrity Robot Locomotion Under Limited Sensory Inputs via Deep Reinforcement Learning by Luo, Jianlan, Edmunds, Riley, Rice, Franklin, Agogino, Alice M.

    “…Tensegrity robots are composed of rigid rods connected by elastic cables, and their unique light-weight yet compliant structure makes them an appealing choice…”
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    Conference Proceeding
  3. 3

    FMB: A functional manipulation benchmark for generalizable robotic learning by Luo, Jianlan, Xu, Charles, Liu, Fangchen, Tan, Liam, Lin, Zipeng, Wu, Jeffrey, Abbeel, Pieter, Levine, Sergey

    “…In this paper, we propose a real-world benchmark for studying robotic learning in the context of functional manipulation: a robot needs to accomplish complex…”
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    Journal Article
  4. 4

    PAT exposure caused human hepatocytes apoptosis and induced mice subacute liver injury by activating oxidative stress and the ERS-associated PERK pathway by Zhang, Hualing, Tang, Meng, Liu, Qin, Wu, Die, Sun, Bing, Dong, Jingbang, Guan, Lan, Luo, Jianlan, Zeng, Ming

    Published in The Science of the total environment (10-12-2024)
    “…With the widespread use of antimony compounds in synthetic materials and processing, the occupational exposure and environmental pollution caused by antimony…”
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    Journal Article
  5. 5

    Deep Reinforcement Learning for Robotic Assembly of Mixed Deformable and Rigid Objects by Luo, Jianlan, Solowjow, Eugen, Wen, Chengtao, Ojea, Juan Aparicio, Agogino, Alice M.

    “…Reinforcement learning for assembly tasks can yield powerful robot control algorithms for applications that are challenging or even impossible for…”
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    Conference Proceeding
  6. 6

    Multistage Cable Routing Through Hierarchical Imitation Learning by Luo, Jianlan, Xu, Charles, Geng, Xinyang, Feng, Gilbert, Fang, Kuan, Tan, Liam, Schaal, Stefan, Levine, Sergey

    Published in IEEE transactions on robotics (2024)
    “…We study the problem of learning to perform multistage robotic manipulation tasks, with applications to cable routing, where the robot must route a cable…”
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    Journal Article
  7. 7

    Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards by Schoettler, Gerrit, Nair, Ashvin, Luo, Jianlan, Bahl, Shikhar, Aparicio Ojea, Juan, Solowjow, Eugen, Levine, Sergey

    “…Connector insertion and many other tasks commonly found in modern manufacturing settings involve complex contact dynamics and friction. Since it is difficult…”
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    Conference Proceeding
  8. 8

    UniGrasp: Learning a Unified Model to Grasp With Multifingered Robotic Hands by Shao, Lin, Ferreira, Fabio, Jorda, Mikael, Nambiar, Varun, Luo, Jianlan, Solowjow, Eugen, Ojea, Juan Aparicio, Khatib, Oussama, Bohg, Jeannette

    Published in IEEE robotics and automation letters (01-04-2020)
    “…To achieve a successful grasp, gripper attributes such as its geometry and kinematics play a role as important as the object geometry. The majority of previous…”
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    Journal Article
  9. 9

    Concentrations of toxic metals and ecological risk assessment for sediments of major freshwater lakes in China by Cheng, Hangxin, Li, Min, Zhao, Chuandong, Yang, Ke, Li, Kuo, Peng, Min, Yang, Zhongfang, Liu, Fei, Liu, Yinghan, Bai, Rongjie, Cui, Yujun, Huang, Zengfang, Li, Lihui, Liao, Qilin, Luo, Jianlan, Jia, Shijun, Pang, Xugui, Yang, Jun, Yin, Guosheng

    Published in Journal of geochemical exploration (01-10-2015)
    “…A systematic geochemical lake sediment survey has been carried out in major freshwater lakes in China. Surface lake sediment (0–20cm) at a density of…”
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    Journal Article
  10. 10

    On the control of a two-wheeled balancing path-following robot by Jianlan Luo, Zhewen Tian, Jintao Yang

    “…Two-wheeled balancing robots have been widely used for research and market purposes. This paper focuses on the control of such a robot to maximize its velocity…”
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    Conference Proceeding
  11. 11

    Residual Reinforcement Learning for Robot Control by Johannink, Tobias, Bahl, Shikhar, Nair, Ashvin, Luo, Jianlan, Kumar, Avinash, Loskyll, Matthias, Ojea, Juan Aparicio, Solowjow, Eugen, Levine, Sergey

    “…Conventional feedback control methods can solve various types of robot control problems very efficiently by capturing the structure with explicit models, such…”
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    Conference Proceeding
  12. 12

    Fluorescent magnetic particle inspection device based on digital image processing by Jianlan Luo, Zhewen Tian, Jintao Yang

    “…Fluorescent magnetic particle inspection is widely applied in industry production, however; traditional ways are manual and depend on individuals' experience,…”
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    Conference Proceeding
  13. 13

    Control strategies optimization of track-hunting intelligent car using advanced PID controllers by Jianlan Luo, Zhewen Tian, Jintao Yang

    “…Intelligent vehicles have been major research interests recent years. A track-hunting intelligent car is presented in this paper. A fuzzy…”
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    Conference Proceeding
  14. 14

    Spectral analysis and numerical simulation for second order elliptic operator with highly oscillating coefficients in perforated domains with a periodic structure by Liqun, Cao, Junzhi, Cui, Dechao, Zhu, Jianlan, Luo

    Published in Science China. Mathematics (01-12-2002)
    “…This paper discusses the spectral properties and numerical simulation for the second order elliptic operators with rapidly oscillating coefficients in the…”
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    Journal Article
  15. 15

    Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly by Luo, Jianlan, Solowjow, Eugen, Wen, Chengtao, Ojea, Juan Aparicio, Agogino, Alice M., Tamar, Aviv, Abbeel, Pieter

    “…Precise robotic manipulation skills are desirable in many industrial settings, reinforcement learning (RL) methods hold the promise of acquiring these skills…”
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    Conference Proceeding
  16. 16

    A reiterated two-scale probabilistic modeling and numerical simulation for heat equation in a fractal porous media by Jianlan, Luo, Liqun, Cao

    Published in Heat transfer, Asian research (01-05-2005)
    “…In this paper, we shall discuss the steady heat equation in fractal structure of a composite porous media. A reiterated two‐scale asymptotic method for a…”
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    Journal Article
  17. 17

    Offline Meta-Reinforcement Learning for Industrial Insertion by Zhao, Tony Z., Luo, Jianlan, Sushkov, Oleg, Pevceviciute, Rugile, Heess, Nicolas, Scholz, Jon, Schaal, Stefan, Levine, Sergey

    “…Reinforcement learning (RL) can in principle let robots automatically adapt to new tasks, but current RL methods require a large number of trials to accomplish…”
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    Conference Proceeding
  18. 18

    Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning by Luo, Jianlan, Xu, Charles, Wu, Jeffrey, Levine, Sergey

    Published 29-10-2024
    “…Reinforcement learning (RL) holds great promise for enabling autonomous acquisition of complex robotic manipulation skills, but realizing this potential in…”
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    Journal Article
  19. 19

    Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data by Khansari, Mohi, Kappler, Daniel, Luo, Jianlan, Bingham, Jeff, Kalakrishnan, Mrinal

    “…This paper introduces Action Image, a new grasp proposal representation that allows learning an end-to-end deep-grasping policy. Our model achieves 84% grasp…”
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    Conference Proceeding
  20. 20

    RLIF: Interactive Imitation Learning as Reinforcement Learning by Luo, Jianlan, Dong, Perry, Zhai, Yuexiang, Ma, Yi, Levine, Sergey

    Published 21-11-2023
    “…Although reinforcement learning methods offer a powerful framework for automatic skill acquisition, for practical learning-based control problems in domains…”
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    Journal Article