Eric Chang

MechE/robotics phd student @Columbia | Duke ‘21

[Eric Chang @ric_and_robots]

Our workshop will be tomorrow June 1 on the first day of #ICRA2026 in Hall A1. Looking forward to the talks and discussion! https://t.co/AKYyslNhyl

Shoutout to @zhanpeng_he for leading this workshop!

[Zhanpeng He @zhanpeng_he]

Excited to organize the ICRA 2026 Workshop on Reinforcement Learning in the Era of Imitation Learning (June 1 · Vienna 🇦🇹)!

Imitation learning scales robot policies — but robustness & real-world adaptation remain open challenges. How can RL improve real-world robot performance?

Speakers: @svlevine, @chelseabfinn, @pulkitology, @RobotPlatt, @davheld, @JasonMa2020, @GeorgiaChal

More information: https://t.co/QSQoSpous3

Organizing w/ @stephentian_, @XiaomengXu11, @ric_and_robots, @albertyu101

#ICRA2026 #Robotics #ReinforcementLearning #ImitationLearning

[ナムチャン 南原 徹也/Nambara Tetsuya ＠甲子化学工業/KOUSHI HOTAMET @namchan_koushi]

器用なロボットハンドが研究されています。指内に数十個のLEDを仕込み、物に触れたときに変化する内壁からの光の反射を機械学習アルゴリズムで読み取ることで、1mm以下の精度で触覚部位を特定できます。更にシミュレータで約1年分の練習を数時間で学習し、この複雑な動作が可能にしています。凄い...

[Columbia Engineering @CUSEAS]

Columbia Engineers design a robot hand that is the first device of its kind to join advanced sense of touch with motor-learning algorithms--it doesn’t rely on vision to manipulate objects. https://t.co/URewBaGAmt @Columbia @MechCU @ColumbiaCompSci

[Gagan Khandate @GaganKhandate]

Exciting news! Combining sampling-based methods with reinforcement learning can lead to complex dexterous manipulation skills. Our work is accepted at #RSS2023!
arxiv: https://t.co/Mz5yW36VGg
website: https://t.co/Dq70MMU7EJ