Excited to announce I'll be presenting my PhD Candidacy Proposal, "Learning Robot Policies from Intuitive Human Guidance," this Monday, Nov 17th, at 11:30 AM EST.
Join in person at IRB-4105 or virtually via Zoom. All are welcome!
https://t.co/KMCPthfFrP
🎉 Excited to share that our paper Sketch-to-Skill is accepted to RSS 2025!
Congratulations and huge thanks to my amazing collaborators Peihong Yu, @singhanukriti, @zahir_mahammad, and my advisor @PratapTokekar
Let me walk you through it. 🧵👇
#RSS2025
If you are @RealAAAI#AAAI2025, catch @peihong_yu discuss her work on contrastive pre-training of inter-agent communication in Multi-Agent Reinforcement Learning for better generalization in unknown conditions
Zahir’s work centers on learning-based methods for robotic manipulation, integrating behavior cloning and reinforcement learning to develop policies for simulated env as well as real-world implementation including ur3e, turtlebot and drones. https://t.co/pKwTt3BgPD
Ruthwik’s work focuses on preference-based reinforcement learning, integrating VLMs into RL to align reward functions with human intent. His work extends to LLM-driven mobile manipulation and has also contributed to multi-drone cooperative transport.
https://t.co/JwuooQ92De
I am excited to share that I will be joining Nanyang Technological University (NTU), Singapore, as an Assistant Professor in the College of Computing and Data Science starting Summer 2025! @NTUsg@NTU_ccds
I am currently recruiting PhD students for Fall 2025. If you are interested in working on robot planning and learning, you can find more information here: https://t.co/ERwsJjv1tK
Thank you for helping me spread the word!
#PhDOpportunity #Robotics #NTUsg
Proud advisor again! I was fortunate to have Yoon as one of my first students. He’s a terrific researcher and a very nice person to work with. Highly encourage folks to apply to his group.
Proud advisor moment! @guangyao_shi's dissertation was selected as a finalist for the Best Dissertation award by the IEEE TC on Multi-Robot Systems @ieee_ras_mrs!
Check out his dissertation on coordination and learning algorithms for multi-robot systems. @eceumd@UMDResearch
Excited to be at #ISRR in Long Beach this week! I'll be presenting my paper, PLANRL, on Dec 10th at 10 AM. Excited to share insights from my work, learn from others, and connect with the amazing robotics community. See you there! #ISRR2024#RoboticsResearch
RAAS Lab members are presenting two papers this week at #NeuRIPS2024 and #ISRR@JoshMcClellan0 will present his work on multi-agent reinforcement learning at NeuRIPS
https://t.co/h0luEDNy9s
I'm excited to share that our paper, "Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance," has been accepted to NeurIPS 2024! 🎉 https://t.co/SeCDBtDgZV
@ptokekar@furongh
Excited to be at #ISRR in Long Beach this week! I'll be presenting my paper, PLANRL, on Dec 10th at 10 AM. Excited to share insights from my work, learn from others, and connect with the amazing robotics community. See you there! #ISRR2024#RoboticsResearch
Happening today: @troidre will present at the IEEE International Symposium on Safety, Security, and Rescue Robotics @ieeeSSRR
Paper: When to Localize? A POMDP Approach
with Kasra Torshizi and @ptokekar
Nov 13, Session 2, 9AM
Last week, I presented my work on LAVA (Long-horizon Visual Action-based food acquisition) at #IROS2024 in Abu Dhabi! Great discussions on robotic manipulation with amazing researchers.
We will be presenting four papers #IROS2024! Details in the thread...
Stop by the posters and presentations to say hi to @amishabhaskar and @Manavmishra96