Hi there, and welcome to my personal website! My name’s Nishanth and I’m a researcher and engineer focused on AI and ML applications to robotics. I also moonlight as a writer and entrepreneur.
Presently, I’m a Ph.D. student in the LIS Group within MIT CSAIL. I’m officially advised by Leslie Kaelbling and Tomás Lozano-Pérez, though I frequently collaborate with Dylan Hadfield-Menell and many other wonderful people within CSAIL’s Embodied Intelligence Initiative. I’m extremely grateful for support from the NSF Graduate Research Fellowship.
In the recent past, I graduated from Brown University with honors in Computer Engineering. As an undergrad, I was fortunate to work on exciting AI + Robotics research under Brown’s BigAI initiative advised by Professors Stefanie Tellex, George Konidaris and Michael Littman. I spent time as a Research Intern at Uber ATG and Vicarious AI, and even had the opportunity to collaborate with researchers at MERL.
Outside of all this, I like to play basketball, philosophize, cook, and sometimes make progress on various sci-fi novels/short-stories that I’ve been writing for longer than I care to admit.
If you’re interested in learning more about me or reading some of my writing, check out my resume, blog or social links in the website footer. If you’d like to get in contact, check out this page here.
- New paper on learning action abstractions released! Check out the Arxiv version here, and accompanying video here!
- Our work on learning neurosymbolic abstractions for efficient and effective planning will be a spotlight talk at RLDM 2022! Come check out the poster and say hi if you’re attending!
- My proposal has been selected as a Finalist for the 2022 Qualcomm Innovation Fellowship in North America!
- The first paper of my Ph.D. is out! Check out the Arxiv version here, and stay tuned for more work in this vein!
- The project I worked on during my internship at Vicarious AI has been released! Check out the blog post and paper!
- Our paper on ‘Fine-Grained’ Active Learning for Self-Driving Vehicles was accepted to CoRL 2021!