MEAM Ph.D. Thesis Defense: “Leveraging Impedance-Related Properties for Free Self-Sensing in Actuators for Compact Robots”
Robotic systems, particularly at small scales, require efficient actuation and sensing solutions that maintain compactness. We are interested in systems where sensing and actuation are seamlessly integrated, specifically using impedance-related […]
MEAM Seminar: “Miniaturized Robots and Probes for Precision Health”
Designing miniaturized robots and bioelectronic devices will enable access throughout the entire human body, leading to novel procedures at the cellular level and offering localized diagnosis and treatment with unprecedented […]
MEAM Seminar: “Real-Time Safe and Energy-Efficient UAV Motion Planning in Windy Urban Environments”
Recent advancements in hardware and software are bringing autonomous aerial vehicles closer than ever to finally delivering on futuristic visions of flying cars and package delivery drones. However, the safe […]
MEAM Seminar: “Robots that Evolve on Demand”
Soft robots have the potential to adapt their morphologies and behavioral control policies to changing tasks and environments. Inspired by the dynamic plasticity of living organisms and the general adaptability […]
MEAM Seminar: “Leveraging Impedance Properties for Free Self-Sensing in Actuators for Compact Robots”
Self-sensing actuators provide a compelling approach to designing compact robotic systems by integrating sensing capabilities directly into the actuator, eliminating the need for external sensors. This presentation, titled “Leveraging Impedance […]
MEAM Ph.D. Thesis Defense: “Exploring Multimodal Sensing Across the Stack for Robot Manipulation”
Despite substantial progress in robotics, achieving human-like manipulation remains a significant challenge. Existing robotic systems typically leverage human-inspired sensory modalities: vision, touch, and proprioception. However, these modalities are historically studied […]
MEAM Seminar: “Differentiable Algorithms for Non-differentiable Robotics: Dexterous Manipulation via Implicit Learning and Control”
As we ask our robotic systems to become more capable, with the ultimate aim of deploying robots into complex and ever-changing scenarios, the vast space of potential tasks drives the […]
IDEAS Seminar: “Equivariant Neural Inertial Odometry”
Abstract: In this talk, we introduce a new class of problems related to integrating inertial measurements obtained from an IMU that play a significant role in navigation combined with visual […]
MEAM Ph.D. Thesis Defense: “Semantics-Driven Active Perception and Navigation with Aerial Robots”
Autonomous aerial robots today are capable of safely navigating through cluttered, GPS-denied environments while constructing an accurate map that captures geometric features such as points, lines, and planes. Such maps […]
MEAM Ph.D. Thesis Defense: “Controlling Contact Transitions for Dynamic Robots”
Legged robots, robotic manipulators, and their combined embodiment as humanoid robots have received considerable attention across both academia and industry. However, with few notable exceptions, state-of-the-art demonstrations are significantly less […]