Paper Review By Graduate
This seminar series intends to have graduate students in the lab introduce one “well-known” research paper and discuss with other lab members. In a seminar, the presenter is going to cover the following four aspects (2W+2H):
- What this paper is about?
- Why this paper is well-known and important to you and us?
- How the authors formulate and solve the problem?
- How this paper potentially benefits your and others’ research?
The papers that are discussed and presenters are listed
Week 1: Cao, Zhangjie, et al., “Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving”, RSS 2020, by Sangjun Lee
Week 2: Babic, Anja, et al., “Vehicle-in-the-Loop Framework for Testing Long-Term Autonomy in a Heterogeneous Marine Robot Swarm”, RAL 2020, by Jun Han
Week 3: Macchini, Matteo , et al., “Personalized Telerobotics by Fast Machine Learning of Body-Machine Interfaces”, RAL 2020], by Roman Ibrahimov
Week 4: Narayanan, Venkatraman, et al., “ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware Robot Navigation”, IROS 2020 , by Wonse Jo
Week 5: Li, Mengxi, et al., “Learning User-Preferred Mappings for Intuitive Robot Control”, IROS 2020 ,by Jeremy Pan
Week 6: Liu, Lucia, et al., “Robot Navigation in Crowded Environments Using Deep Reinforcement Learning”, IROS 2020, by Su Sun
Week 7: Shafti, Ali, et al., “Real-World Human-Robot Collaborative Reinforcement Learning”, IROS 2020, by Goeum Cha
Week 8: Ryll, Markus, et al., “Semantic Trajectory Planning for Long-Distant Unmanned Aerial Vehicle Navigation in Urban Environments”, IROS 2020, by Shyam Sundar Kannan
Week 9: Liu , Boyi, et al., “Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems”, IROS 2019, by Manoj Raj Penmetcha