Field Robotics Center Seminar
Christopher Clark
Robots Crossing Boundaries
Harvey Mudd College

Robots Crossing Boundaries

CIC CIC Buuilding Conference Room 1, LL Level

Abstract: Over the last 50 years, autonomous robots have made the leap from being novel research contributions in university labs to becoming the fundamental technology upon which companies are built. While they traditionally have belonged to the engineering and computer science disciplines, robots have now crossed into other areas of study and research - making impacts in oceanography, geology, archaeology, biomechanics and biology. [...]

RI Seminar
Nikolai Matni
Assistant Professor
Department of Electrical and Systems Engineering, University of Pennsylvania

What Makes Learning to Control Easy or Hard?

1403 Tepper School Building

Abstract: Designing autonomous systems that are simultaneously high-performing, adaptive, and provably safe remains an open problem. In this talk, we will argue that in order to meet this goal, new theoretical and algorithmic tools are needed that blend the stability, robustness, and safety guarantees of robust control with the flexibility, adaptability, and performance of machine [...]

RI Seminar
Allison Okamura
Richard W. Weiland Professor of Engineering
Department of Mechanical Engineering, Stanford University

Soft Wearable Haptic Devices for Ubiquitous Communication

1403 Tepper School Building

Abstract: Haptic devices allow touch-based information transfer between humans and intelligent systems, enabling communication in a salient but private manner that frees other sensory channels. For such devices to become ubiquitous, their physical and computational aspects must be intuitive and unobtrusive. The amount of information that can be transmitted through touch is limited in large [...]

RI Seminar
Anirudha Majumdar
Associate Professor
Mechanical and Aerospace Engineering, Princeton University

Robots That Know When They Don’t Know

1403 Tepper School Building

Abstract: Foundation models from machine learning have enabled rapid advances in perception, planning, and natural language understanding for robots. However, current systems lack any rigorous assurances when required to generalize to novel scenarios. For example, perception systems can fail to identify or localize unfamiliar objects, and large language model (LLM)-based planners can hallucinate outputs that [...]