#PurdueCS Professor Ahmed Qureshi has been awarded the National Science Foundation CAREER Award. This award helps him advance his research in robotics used in the physical world.
Read more here: https://t.co/SvurldgW7t
#NationalScienceFoundation#PurdueScience#CAREERAwards
2/2 In this work, we introduce a new mapping feature called Arrival Time Fields. We demonstrate that these fields can be inferred online from local perception in unknown environments and are better suited for motion planning than features like occupancy maps or SDFs.
1/2 Check out our latest work on Self-supervised, Physics-informed Neural Networks for Robot Mapping and Motion Planning in unknown environments.
Preprint: https://t.co/iltuQCyzRA
Full Video: https://t.co/aSgoO2l1Vr
#robotics#mapping#motionplanning#PINNs
I am seeking a postdoc with a strong background in App. Math & ML to develop neural surrogates for PDEs in robot motion control. Send research statement, CV & transcripts to [email protected]#MachineLearning#math#robotics#Jobs
My lab is set to present our nine accepted papers at the #ICRA2024. Additionally, I will be giving a talk on "Neural Time Fields for Robot Motion Planning under Constraints" at the RoboNeRF Workshop. If you're also attending the conference, I'd love to connect and catch up.
Accepted for #ICRA2024, our new constrained robot motion planning approach using Physics-informed Neural Networks is now available online! It requires no expert motion trajectories for learning and exhibits faster planning times.
Checkout: https://t.co/j59oyhgtgA
Excited to be part of this workshop! Come check it out at #ICRA2024 — if nothing else, I promise to showcase some fresh-from-the-oven methods for Robotics + Neural Fields :)
Brewing up your new cool Robotics + NeRF papers? Submit your work to our Neural Fields in Robotics workshop for a chance to present at the poster session during #ICRA2024! 🦾
📢Extended Deadline: March 31st https://t.co/YCZTFXkUIG
I had the pleasure of hosting a visit to my CoRAL lab at @PurdueCS for undergrads. We presented live demonstrations of robotics projects designed for real-time applications that tightly integrate robot perception, planning, and control.
https://t.co/fnqJXEQMOj
Our lab (https://t.co/BqSzNxrZVz) had a fantastic morning with nine papers accepted for #ICRA2024. Congratulations to everyone involved!
@ieee_ras_icra@PurdueCS
Seeking PhD students for my Robot Motion Planning and Control team (https://t.co/BqSzNxrZVz) starting Fall 2024. Strong skills in math, ML, and optimization are preferred. Apply to the @PurdueCS program & list me as your primary advisor if interested.
Our recent work proposes an efficient Multi-Stage Monte Carlo Tree Search to solve non-monotonic object rearrangement tasks by decomposing them into subproblems and then solving them through adaptive tree expansion.
Ppr: https://t.co/wk91f9iMiH
Vid: https://t.co/4oC4JXKNVi
Exciting news! Our team got three papers accepted in IEEE Robotics and Automation Letters (#IEEERAL). They offer efficient solutions for multi-agent robot task and motion planning, heterogeneous soft-rigid body manipulation, and fast geometric path planning.
Paper links in🧵
Excited to be part of the vibrant Editorial Board of IEEE Transactions on Robotics. Looking forward to working with you all @IeeeTro!
https://t.co/jpX2PDPtOC
https://t.co/1ImR9W69Fy
#robotics#science#technology#engineering
Prof. @ahquresh talks about neural motion planning at the Workhop for policy learning on geometric spaces! Running till 12:00. Catch us in room 140D. @ieeeiros
Looking forward to #IROS2023! If you're also going to be there, let's connect and catch up. I will be giving a talk and participating in a panel discussion tomorrow during the Policy Learning in Geometric Spaces Workshop. Additionally, my lab will be presenting 3papers:
Check out our latest work introducing the new, general motion primitive called Iterative Grasp and Pull, which enables robots to transport rigid objects via ropes over a larger operational space.
Paper: https://t.co/k2vxXF8HZ3
Video: https://t.co/fr7i4KanXZ
@PurdueCS#Robots