Jishnu Jaykumar Padalunkal
Research: Learning from humans and few examples for embodied robotics
I’m a final-year PhD student at UT Dallas, working on robot learning with Yu Xiang at IRVL. I started as an MS student in Fall 2021 and switched to the PhD program after my first year.
🎓 I’m graduating in 2027 and looking for full-time research scientist positions in industry. If my experience brings value to your team, please reach out!
I work on making robots learn from minimal supervision — few-shot examples or input from humans. I build and test on physical robots and real-world scenes. My PhD thesis brings five projects together:
- FewSOL ICRA 2023 — few-shot object learning dataset
- Proto-CLIP IROS 2024 — vision-language few-shot perception
- iTeach (under submission) — learning from mistakes via human interaction and guidance
- HRT1 RA-L 2026 — training-free mobile manipulation from a single video
- RPX (under submission) — modular, foundation-model, and agentic robots all run on perception models; RPX gauges them in one unified benchmark across four real-world scenarios (clutter, interaction, clean, egocentric) captured with robot-grade cameras, so they’re chosen on evidence, not at random
news
| Oct 16, 2026 | RPX has been released! 🌟 A unified benchmark that evaluates robot perception across tasks and modalities on the same real-world scenes, captured with robot-grade cameras before, during, and after manipulation — with the |
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| Oct 12, 2026 | HRT1 accepted at IEEE Robotics and Automation Letters (RA-L) 🎉. |
| Jul 6, 2026 | Featured in the UTD Jonsson School’s coverage of its annual Faculty & Staff Awards Ceremony, recognized for the Dean of Graduate Education Dissertation Research Award 🎉Also featured by the Jonsson School and the CS Department |
| Jun 12, 2026 | Grateful to receive the competitive Dean of Graduate Education Dissertation Research Award |
| Jun 11, 2026 | My blog is now featured on the activities page. |