Deformation-Aware Manipulation: Compliant and Geometric Approaches for Non-Anthropomorphic Hands
Abstract: Soft robot hands offer compelling advantages for manipulation tasks, including inherent safety through material compliance, robust adaptation to uncertain object geometries, and the ability to conform to complex shapes passively. However, these same properties create significant challenges for conventional sensing and control approaches. This talk presents approaches to bridging advances in geometric learning and [...]
Faculty Candidate Talk: Carlo Sferrazza
Title: The Path to Humanoid Intelligence Abstract: Humanoid robots represent the ideal physical embodiment to assist us in the diversity of our daily tasks and human-centric environments. Driven by substantial hardware advancements, progress in artificial intelligence (AI), and a growing demand for adaptable automation, this vision appears increasingly feasible. Yet, to date, humanoid intelligence remains [...]
Integrating Safety Across the Learning-Based Perception Pipeline: From Training to Deployment
Abstract: Robots operating in safety-critical environments must reason under uncertainty and adapt to novel situations. However, recent advances in data-driven perception have made it increasingly difficult to provide formal safety guarantees, particularly when systems encounter out-of-distribution or previously unseen inputs. For such systems to be safely deployed in the real world, we need data augmentation [...]
Physical Intelligence and Cognitive Biases Toward AI
Abstract: When will robots be able to clean my house, dishes, and take care of laundry? While we source labor primarily from automated machines in factories, the penetration of physical robots in our daily lives has been slow. What are the challenges in realizing these intelligent machines capable of human level skill? Isn’t AI advanced [...]
Robotics Institute Semi-formal
Hello all Robotics Institute faculty, students, visitors and staff, You and a guest are cordially invited to attend The Robotics Institute Semi-formal
Faculty Candidate Talk: Jason Ma
Title: Internet Supervision for Robot Learning Abstract: The availability of internet-scale data has led to impressive large-scale AI models in various domains, such as vision and language. For learning robot skills, despite recent efforts in crowd-sourcing robot data, robot-specific datasets remain orders of magnitude smaller. Rather than focusing on scaling robot data, my research takes the alternative path of directly [...]
RI Seminar with Charlie Kemp
Robotics Institute Picnic
Please mark your calendars and plan to join us for the 2025 Robotics Institute Picnic! More information and RSVP e-vite to follow as we get closer to the event.