MEAM Seminar: “Physical and Neural Reservoirs for Mechanically Intelligent Sensing and Control”
Reservoir computing is an information processing paradigm within which the nonlinear dynamics of a system are exploited to perform information processing. While originally proposed in the context of artificial and […]
MEAM Seminar: “A ‘Full Stack’ Problem”
While many of the tremendous advances seen in robotic dexterity over the past half-decade have been driven by new motor learning methods, I remain convinced that manipulation is a “full […]
MEAM Ph.D. Thesis Defense: “Real Time Local Wind Inference for Robust Autonomous Navigation”
Urban air mobility and autonomous package delivery represent promising avenues for integrating aerial robots into everyday life. However, operating these systems safely and efficiently in windy urban environments remains a […]
Tedori-Callinan Distinguished Lecture: “Robotic Predictions are Hard, Especially About the Future”
Many autonomous systems (e.g, driverless cars and drones) must make decisions based on predictions of the future actions of other nearby agents, whose dynamics and intentions are unknown. E.g., autonomous […]
MEAM Ph.D. Thesis Defense: “SLAM in Hard Places”
Simultaneous Localization and Mapping is a fundamental problem for robots interacting with a novel environment and has been a densely studied area of research for several decades. The modern paradigm […]
MEAM Seminar: “Predicting Infant Center of Pressure through Physics and Data Driven Modeling”
Affecting roughly 2 in 1000 infants in the USA, Cerebral Palsy (CP) is the most common cause of motor impairment in children. CP has no cure, but motor therapy is […]
MEAM Seminar: “Leveraging Robot-Based Haptic Dyads to Improve Community-Based Stroke Rehabilitation”
Disabilities related to aging and stroke impact functional independence and quality of life for millions of older adults, creating a growing need for scalable, accessible rehabilitation solutions. Community-based robotic therapy […]
MEAM Ph.D. Thesis: “Geometric Methods for Efficient and Explainable Control of Underactuated Robotic Systems”
Robots are complex, high-dimensional systems, governed by nonlinear, underactuated dynamics and evolving on non-Euclidean manifolds, posing numerous challenges for control synthesis and analysis. While optimization-based methods of control can flexibly […]
MEAM Seminar: “Exploring Jet-Propelled Soft Robots: Design, Experiments, and Theory”
Understanding how marine animals migrate is critical for assessing the impacts of climate change on ocean ecosystems—and yet current Autonomous Underwater Vehicles (AUVs), with their noisy propellers and rigid hulls, […]
MEAM Seminar: “Modularity Strategies for Pneumatic Control in Soft Robotic Systems”
Soft robotic systems, defined as both compliant robotic platforms and mechanically adaptive structures, offer unique advantages such as safe human-machine interaction, structural flexibility, and environment-driven reconfigurability. By relying on deformable […]