Safe Robotics Laboratory
We work on making robots and AI safe around people.
Our group develops theory and algorithms for intelligent systems like robots, autonomous cars, and AI assistants to actively ensure safety as they navigate uncertain, changing situations and interact with humans.
Our research brings together control systems, game theory, and artificial intelligence to unlock rigorous and clear-cut safety guarantees that we can all understand and trust.
Latest News
Oct 2024
New paper accepted to
NeurIPS 2024!
Kaiqu Liang, Zixu Zhang, Jaime F. Fisac. Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity.
May 2024
Two papers accepted to
RSS 2024!
(1/2) Haimin Hu*, Gabriele Dragotto* et al., Who Plays First? Optimizing the Order of Play in
Stackelberg Games with Many Robots. (2/2) Justin Lidard*, Haimin Hu* et al., Blending Data-Driven Priors in Dynamic Games.
May 2024
Haimin Hu and Zixu Zhang have been awarded the
Outstanding Presentation Award
at the Princeton Research Day for their work on Who Plays First? Using Game Theory to Coordinate Many Robots.
Their presentation can be found here.
Dec 2023
Congratulations to Haimin Hu on being selected as an HRI Pioneer
for his research on safe human-centered robot autonomy!
Dec 2023
Kai-Chieh Hsu presented our new
Fast, Smooth, and Safe
paper in collaboration with Peter Ramadge's group at CDC 2023.
Our new method brings reach-avoid optimal control and CBFs under a unified lens
to systematically construct minimally conservative CBFs at runtime.
The best part: it works for arbitrary nonlinear systems without needing hand design.
Dec 2023
Kai-Chieh Hsu and Ken Nakamura presented our
Game-Induced Opinion Dynamics
paper in collaboration with Naomi Leonard at CDC 2023.
Nov 2023
Our safe-and-agile delivery robot concept has was featured at
Celebrate Princeton Innovation.
Check out the video
here.
Nov 2023
A heartfelt thank you to the
Survival and Flourishing Fund
for supporting our continuing collaboration with
BERI
to help make AI technology safer and more beneficial to humanity.
Nov 2023
Congratulations to Promise Ekpo on receiving the
Cadence Diversity in Tech Fellowship
for her AI safety work!
Nov 2023
Haimin Hu, Zixu Zhang, and Ken Nakamura presented our
Deception Game
paper in collaboration with Andrea Bajcsy (CMU) at CoRL 2023.
Oct 2023
Kai-Chieh Hsu presented our recent
Counterfactual Responsibility paper in collaboration
with NVIDIA at IROS 2023.
Sep 2023
We got a fun paper on learning-aware safety accepted into CoRL'23!
Sep 2023
Prof. Fisac received the Sony Focused Research Award to work on safe mobile robot navigation.
