GRASP On Robotics: “Perspectives on Machine Learning for Adaptive Robotic Systems”
Abstract: Recent advances in machine learning are leading to new tools for designing intelligent robots: functions relied on to govern a robot’s behavior can be learned from a robot’s interaction […]
Spring 2021 GRASP SFI: “Robotic Caregivers—Sensing, Simulation, and Physical Human-Robot Interaction”
Abstract: Autonomous robots have the potential to serve as versatile caregivers that improve quality of life for millions of people with disabilities worldwide. Yet, physical robotic assistance presents several challenges, […]
MEAM Seminar: “Design, Fabrication, and Control of Biologically Inspired Soft Robots”
Robotics has the potential to address many of today’s pressing problems in fields ranging from healthcare to manufacturing to disaster relief. However, the traditional approaches used on the factory floor […]
GRASP/MEAM Seminar: “Towards Safe and Efficient Learning and Control for Physical Human Robot Interaction”
From factories to households, we envision a future where robots can work safely and efficiently alongside humans. For robots to truly be adopted in such dynamic environments, we must i) […]
Spring 2021 GRASP SFI: “Considerations for Human-Robot Collaboration”
Abstract: The field of robotics has evolved over the past few decades. We’ve seen robots progress from the automation of repetitive tasks in manufacturing to the autonomy of mobilizing in […]
GRASP On Robotics: “Advancing Innovations for Robotic Teams in Complex Environments”
Abstract: Complex real-world environments continue to present significant challenges for fielding robotic teams, which often face expansive spatial scales, difficult and dynamic terrain, degraded environmental conditions, and severe communication constraints. […]
Spring 2021 GRASP SFI: “Safe and Data-efficient Learning for Robotics”
Abstract: For successful integration of autonomous systems such as drones and self-driving cars in our day-to-day life, they must be able to quickly adapt to ever-changing environments, and actively reason […]
MEAM Seminar: “Fusion for Robot Perception and Controls”
Machine learning has led to powerful advances in robotics: deep learning for visual perception from raw images and deep reinforcement learning (RL) for learning controls from trial and error. Yet, […]
GRASP On Robotics: “Photoacoustic Vision for Surgical Robots”
Abstract: The concept of “x-ray vision” is widely understood to be the ability to see through structures that are not transparent to the human eye. This concept would be a […]
Spring 2021 GRASP SFI: “Hunting for Unknown Unknowns: AI and Ethics in Society”
Abstract: Homo Sapiens is considered a “hyper-cooperative species,” and this aptitude for cooperation may be responsible for our dominance over the Earth. Cooperation promises great benefits, but each participant is vulnerable […]