Professor Jon How was invited to speak at Amazon’s re:MARS conference this week in Las Vegas, NV. He discussed the lab’s current work and vision in a talk titled, Reinforcement Learning for Robots.

re:MARS Conference

Stewart Jamieson gave a lightning talk titled The Pervasiveness of Deep Learning in Robotics Research Does Not Impede Scientific Insights into Robotics Problems at the Debates on the Future of Robotics Research workshop at ICRA 2019.

Congratulations to Brett Lopez who has succesfully defended his doctoral thesis entitled, Adaptive Robust Model Predictive Control for Nonlinear Systems.

Brett’s Homepage

Congratulations to Yulun Tian for being one of 5 innovators to share the 2019 AUVSI XCELLENCE Humanitarian Award. His work, Search and Rescue under the Canopy (SARUC), aims to locate humans and materials lost in challenging and cluttered forest areas.

Award Announcement

ACL co-authored 5 papers accepted to ICRA 2019! Congratulations to all authors.

Papers

• Real-Time Planning with Multi-Fidelity Models for Agile Flights in Unknown Environments
• Active Perception in Adversarial Scenarios using Maximum Entropy Deep Reinforcement Learning
• Efficient Constellation-Based Map-Merging for Semantic SLAM
• Safe Reinforcement Learning with Model Uncertainty Estimates
• Streaming Scene Maps for Co-Robotic Exploration in Bandwidth Limited Environments

Congrats to Shayegan Omidshafiei, Dong Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Chris Amato, Murray Campbell for their paper Learning to Teach in Cooperative Multiagent Reinforcement Learning! They are looking forward to present and discuss the work at AAAI-19 this end of January.