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 […]
*This seminar will be held in-person in Raisler Lounge as well as virtually via Zoom. ABSTRACT Computer vision has transformed from simple edge detection in the 1980s to modern generative […]
This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. ABSTRACT This talk describes investigations into the nature of robot–environment interaction and "niche […]
Abstract: To meet the ever-increasing global energy demands while addressing climate change, the development of carbon capture, utilization and storage (CCUS) technologies is one of the critical needs. In particular, […]
Fossil fuels have been overwhelmingly used in many industry sectors in past decades, causing significant CO2 and other pollutant emissions, low efficiency, and nonsustainability. Clean and efficient energy storage and […]
The human body produces magnetic fields wherever ion exchange occurs. Detecting these pico-Tesla level magnetic fields enables non-invasive monitoring of brain and heart health, but medical-grade sensing methods require large […]
This will be a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom. ABSTRACT As robots become more and more prevalent, both in the workplace […]
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 […]
Liquid crystal elastomers (LCEs) exhibit complex thermomechanical behaviors that can be harnessed for a wide variety of applications in soft robotics, biomedical devices, and impact protection. The material comprises stiff […]
Abstract: Immunotherapies have achieved remarkable success in treating hematological cancers, yet the solid tumor microenvironment remains a significant barrier to therapeutic breakthroughs. Machine learning (ML)-driven computational protein design offers a […]
