Teaching Robots to Do More with Less Data News / October 5, 2026 Nadia Figueroa and her lab are developing new ways for robots to combine physics, planning and artificial intelligence, allowing them to learn useful skills from just a handful of demonstrations, and adapt when the world doesn’t go as planned. Read More
AI in the Physical World: Helping Robotic Arms Solve Problems Using Tools News / June 4, 2026 Penn researchers developed an AI framework that enables robotic arms to invent and use tools on their own, allowing robots to adapt to unfamiliar tasks and environments by combining physical reasoning, tool design, and problem-solving in the real world. Read More
Mateusz Jaszczuk Defends Master’s Thesis on Real-Time Adaptive Control in Robotics News / April 28, 2026 Mateusz Jaszczuk's work advances how torque-controlled robots safely and effectively interact with humans in dynamic, uncertain environments. Read More
Nadia Figueroa Receives 2025 CAREER Award News / January 8, 2026 Her award-winning project, “Constraint-Aware Estimation, Learning and Control for Fluid Physical Human-Robot Collaboration,” aims to fundamentally expand how robots sense, predict and physically interact with people in dynamic, real-world environments. Read More
