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學(xué)院首頁 > 師資隊伍 > 教師名錄 > 教學(xué)科研型

教學(xué)科研型

李瀟

副教授

所在系所：機(jī)器人研究所

電子郵件：sjtu_lixiao@sjtu.edu.cn

通訊地址：上海交大機(jī)械與動力工程學(xué)院

個人主頁： http://bhcdo.cn/teacher_directory1/lixiao.html

個人簡介

科研工作

教育背景

2015年9月-2019年12月美國波士頓大學(xué)機(jī)械工程, 博士
2012年9月-2014年5月: 美國約翰霍普金斯大學(xué), 碩士
2009年9月-2012年5月: 加拿大英屬哥倫比亞大學(xué), 學(xué)士

工作經(jīng)歷

2022.12-至今：上海交通大學(xué)機(jī)械與動力工程學(xué)院，副教授
2020年3月-2022年11月: 美國麻省理工學(xué)院計算機(jī)科學(xué)與人工智能實驗室博士后
2014年5月-2015年8月: 美國約翰霍普金斯大學(xué)計算感知和機(jī)器人實驗室研究員

研究方向

研究方向：實驗室旨在結(jié)合數(shù)據(jù)驅(qū)動（機(jī)器學(xué)習(xí)，神經(jīng)網(wǎng)絡(luò)等）和模型驅(qū)動（最優(yōu)控制，規(guī)劃等）的方法開發(fā)具有環(huán)境感知，理解，持續(xù)學(xué)習(xí)和安全執(zhí)行能力的機(jī)器人系統(tǒng)。

研究課題：
* 增強(qiáng)學(xué)習(xí) (reinforcement learning）
* 模仿學(xué)習(xí) (imitation learning）
* 深度感知規(guī)劃模型的壓縮 (deep sensing-planning model compression)
* 環(huán)境感知和理解 (sensing and scene understanding)
* 知識表征和生成 (knowledge representation and generation)
* 軌跡預(yù)測和規(guī)劃 (trajectory prediction and planning)

應(yīng)用方向：
* 機(jī)器人的移動操作（mobile manipulation）
* 人機(jī)控制和交互模型的集成（interactive and planning module integration）
* 自動導(dǎo)航（autonomous navigation）
* 機(jī)器人云和邊緣計算（cloud and edge computing for robots）

代表性論文專著

【2023】
* S. Jiwani, X.Li, S.Karaman, D.Rus, Risk-Aware Neural Navigation From BEC Input for Interactive Driving, IEEE International Conference on Robots and Automation (ICRA), (2023) [pdf]

【2022】
* X.Li, G.Rosman, C.Vasile, I.Gilitschenski, S.Karaman, D.Rus, Learning An Explainable Trajectory Generator Using The Automaton Generative Network (AGN), IEEE Robotics and Automation Letters (RA-L)/ICRA, (2022) [pdf]
* Y.Ban, X.Li, G.Rosman, I.Gilitschenski, S.Karaman, D.Rus, Learning Semantic-Aware Trajectory Predictor Using Knowledge Graph Network, IEEE International Conference on Robots and Automation (ICRA), (2022) [pdf]
* B. Araki, J. Choi, L. Chin, K. Vodrahalli, X. Li, D. Rus, Learning Policies by Learning Rules, IEEE Robotics and Automation Letters (RA-L)/ICRA, (2022) [pdf]
* X. Li, J. Decastro, C. Vasile, S. Karaman, D. Rus, Learning a Risk-Aware Trajectory Planner From Demonstrations Using Logic Monitor, Conference on Robot Learning (CoRL) (2022) [pdf]

【2021】
* X.Li, G.Rosman, I.Gilitschenski, C.Vasile, J.A.DeCastro, S.karaman, D.Rus, Vehicle Trajectory Prediction Using Generative Adversarial Network With Temporal Logic Syntax Tree Features, IEEE Robotics and Automation Letters (RA-L) 6 (2021):3459-3466. [pdf]
* B. Araki, X. Li, K. Vodrahalli, J. DeCastro, M.J.Fry, D. Rus, The Logical Options Framework, International Conference on Machine Learning (ICML) (2021) [pdf]

【2020】
* C.I.Vasile, X.Li and C.Belta, Reactive Sampling-Based Path Planning with Temporal Logic Specifications, International Journal of Robotics Research (IJRR) 39 (2020): 1002-1028 [pdf]
* C.Sun, X.Li and C.Belta, Automata Guided Semi-Decentralized Multi-Agent Reinforcement Learning, American Control Conference (ACC) (2020): 3900-3905. [pdf]
* X.Li, G.Rosman, I.Gilitschenski, C.Vasile, J.A.DeCastro, S.Karaman, D.Rus, Differentiable Logic Layer for Rule Guided Trajectory Prediction, Conference on Robot Learning (CoRL), (2020) [pdf]

【2019】
* X.Li, Z.Serlin, Y.Guang and C.Belta, A Formal Methods Approach to Interpretable Reinforcement Learning for Robotic Planning, Science Robotics 4 (2019). [pdf]
* X.Li, C.Belta, Temporal Logic Guided Safe Reinforcement Learning Using Control Barrier Functions [pdf]

【2018】
* X.Li, Y.Ma and C.Belta, A Policy Search Method for Temporal Logic Specified Reinforcement Learning Task, American Control Conference (ACC), (2018): 240-245. [pdf]
* X.Li, C.Belta, Automata Guided Skill Composition, [pdf]

【2017】
* X.Li, C.I.Vasile and C.Belta, Reinforcement Learning With Temporal Logic Rewards, IEEE International Conference on Intelligent Robotics And Systems (IROS), (2017): 3834-3839. [pdf]
* X.Li, C.Belta, A Hierarchical Reinforcement Learning Method for Persistent Time-Sensitive Tasks, [pdf]

【2016】
* X.Li and P.Kazanzides, Task Frame Estimation During Model-Based Teleoperation for Satellite Servicing, IEEE International Conference on Robots and Automation (ICRA), (2016):2834-2839 [pdf]

【2015】
* X.Li and P.Kazanzides, Parameter Estimation And Anomaly Detection While Cutting Insulation During Telerobotic Satellite Servicing, IEEE International Conference on Intelligent Robots And Systems (IROS), (2015):4562-4567 [pdf]