Nadia Figueroa
Shalini and Rajeev Misra Presidential Assistant Professor, MEAM
Nadia Figueroa is the Shalini and Rajeev Misra Presidential Assistant Professor in the Mechanical Engineering and Applied Mechanics (MEAM) Department at the University of Pennsylvania. She is a member and Faculty Advisor at the General Robotics, Automation, Sensing & Perception (GRASP) lab. Before joining the faculty, she was a Postdoctoral Associate in the Interactive Robotics Group of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology (MIT), advised by Prof. Julie A. Shah. She completed a Ph.D. (2019) in Robotics, Control, and Intelligent Systems at the Swiss Federal Institute of Technology in Lausanne (EPFL), advised by Prof. Aude Billard.
Her Ph.D. thesis titled “From High-Level to Low-Level Robot Learning of Complex Tasks” was a finalist for the Georges Giralt Ph.D. award in 2020 – the best European Ph.D. thesis in robotics. For her work on coordinated multi-arm motion planning, she was a finalist for the KUKA Innovation Award in 2017 and the winner of the Best Student Paper Award (as well as a finalist for Best Conference Paper and Best Systems Paper) at the Robotics: Science and Systems (RSS) Conference in 2016.
Her main research interest focuses on developing human-aware robotic systems: robots that can physically interact with humans and the human-centric dynamic spaces we inhabit. Such human-aware robots should be able to manipulate and deform objects, physically collaborate and cooperate with humans in shared workspaces; while guaranteeing safety and efficiency. This involves research at the intersection of robotics, machine learning, control theory, artificial intelligence, perception, and psychology – with a physical human-robot interaction perspective.
Research Areas
- Service Robots
- Data-Driven Control Algorithms
- Data-Driven Modeling and Estimation
- Learning for Control Systems
- Manipulation
- Perception-based Control
- Autonomy
- Machine Learning
- Planning
Publications
Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation
Publisher ICRA
Publisher ICRA
Viability-Preserving Passive Torque Control
Publisher ICRA
Publisher ICRA
Proactive Local-Minima-Free Robot Navigation: Blending Motion Prediction with Safe Control
Publisher ArXiv
COMETH: Convex optimization for multiview estimation and tracking of humans
Publisher Expert Systems with Applications
KGripper: A Push-On Lift-Twist-Off Passive Perching Mechanism
Publisher Journal of Mechanisms and Robotics
Publisher ICRA
Symskill: Symbol and Skill Co-Invention for Data-Efficient and Real-Time Long-Horizon Manipulation
Publisher CoRL
VLMgineer: Vision Language Models as Robotic Toolsmiths
Publisher ICLR
Occupancy-aware Trajectory Planning for Autonomous Valet Parking in Uncertain Dynamic Environments
Publisher arXiv
Publisher IROS
Gradient Field-Based Dynamic Window Approach for Collision Avoidance in Complex Environments
Publisher IROS
Graph-based Path Planning with Dynamic Obstacle Avoidance for Autonomous Parking
Publisher IEEE Intelligent Vehicles Symposium
Publisher ArXiv
Publisher CoRL
Publisher HRI Workshop
Publisher Generative Modeling meets HRI - RSS'24 Workshop
Publisher The International Journal of Robotics Research
Publisher IROS
A Robust Filter for Marker-less Multi-person Tracking in Human-Robot Interaction Scenarios
Publisher ROMAN
Publisher IEEE Robotics and Automation Letters
Constrained Passive Interaction Control: Leveraging Passivity and Safety for Robot Manipulators
Publisher ICRA
On the Feasibility of EEG-based Motor Intention Detection for Real-Time Robot Assistive Control
Publisher ICRA
Locally active globally stable dynamical systems: Theory, learning, and experiments
Publisher The International Journal of Robotics Research
Learning for Adaptive and Reactive Robot Control
Publisher MIT Press
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Highlights from GRASP at CoRL 2022
December 20, 2022
Ph.D. Students
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PhD, ESE '26 - Scientist I, Robotics, Dexterous Manipulation & Robot Learning, Lila Sciences
Research Areas
- Service Robots
- Data-Driven Control Algorithms
- Data-Driven Modeling and Estimation
- Learning for Control Systems
- Manipulation
- Perception-based Control
- Autonomy
- Machine Learning
- Planning