ICRA2021 Virtual Workshop
Robot Learning in Real-world Applications: Beyond Proof of Concept
Robot Learning in Real-world Applications: Beyond Proof of Concept
PROGRAM
13.00 JST (6.00 CEST) - 13.15 JST 　
Dr. Andrej Gams
Title: Opening remarks / Optimizing Robotic Motion for Visual Quality Inspection
Session 1
13.15 JST (6.15 CEST) - 14.00 JST
Dr. Dileep George eep George
Title: Data-efficient learning for robotics
14.00 JST (7.00 CEST) - 14.45 JST
Prof. Tetsuya Ogata
Title: Deep Predictive Learning: Real-Time Motion Adaptation for Prediction Error Minimization
Short break (15min)
Session 2
15.00 JST (8.00 CEST) - 15.45 JST
Prof. Takamitsu Matsubara
Title: Reinforcement learning approach to real-world robot control: challenges for beyond proof of concept
15.45 JST (8.45 CEST) - 16.30 JST
Prof. Anna Valente
Title: Challenges and future trends of autonomous industrial robots in the MRO value chain
Short break (30min)
Session 3
17.00 JST (10.00 CEST) - 17.45 JST
Dr. Freek Stulp
Title: Guiding exploration for real-world robotic reinforcement learning
17.45 JST (10.45 CEST) - 18.30 JST
Prof. Marco Hutter
Title: Learning-based navigation and control of quadrupeds and excavators
18.30 JST (11.30 CEST) - soon after
Discussion and closing remarks