Ankit Shah (@ankitjs) / X

Ankit Shah

155 posts

Ankit Shah

@ankitjs

Research Scientist at The Boston Dynamics AI Institute. Prev at Brown CS, Ph.D. from MIT. Making robots easy to program and deploy. ajshah.info

Cambridge, MA

Joined August 2013

Ankit Shah
@ankitjs
May 14, 2024
Enforcing safety constraints with an LLM-modulo planner. Presented by @ZiyiYang96 at #ICRA2024
Ziyi Yang
@ZiyiYang96
May 13, 2024
I'm at #ICRA2024 and will be presenting my paper titled "Plug in the Safety Chip: Enforcing Constraints for LLM-driven Robot Agents" (yzylmc.github.io/safety-chip/). Excited++ 🦾🤖
Ankit Shah
@ankitjs
May 14, 2024
Solving new tasks zero shot using prior experience in a related task! Find @jasonxyliu at #ICRA2024
Jason Liu @HRI
@jasonxyliu
May 13, 2024
How can robots reuse learned policies to solve novel tasks without retraining? In our #ICRA2024 paper, we leverage the compositionality of task specification to transfer skills learned from a set of training tasks to solve novel tasks zero-shot
Ankit Shah
@ankitjs
Mar 2, 2024
Using formal systems to ensure diversity in evaluations. Making sure we are evaluating reasoning when claiming that we are evaluating reason. Hope to see more such analysis accompanying every claim.
Saurabh Srivastava
@_saurabh
Mar 1, 2024
More than 50% of the reported reasoning abilities of LLMs might not be true reasoning. How do we evaluate models trained on the entire internet? I.e., what novel questions can we ask of something that has seen all written knowledge? Below: new eval, results, code, and paper.
Ankit Shah
@ankitjs
Dec 3, 2023
I am super excited to be a part of the @talkingrobotics series on Dec 7. I also highly recommend checking out the previous seminars especially if you're interested in a human-centered approach to robotics research.
Talking Robotics
@talkingrobotics
Dec 2, 2023
💫Understand how (temporal) reward abstractions help planning and task realization with @ankitjs from @theaiinstitute in our next episode. 🤖#ArtificialIntelligence 📅Date: (Thursday) 07 Dec 2023 - 09:30 PST | 12:30 EST | 18:30 CET ✍️Register here: rb.gy/n5wlop
Ankit Shah
@ankitjs
Nov 6, 2023
At @corl_conf this week. Excited to present our work on leveraging temporal reward abstractions for helping with robot learning at the LEAP workshop.leap-workshop.github.io
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