Faculty Events
Calendar of Events
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Faculty Candidate
Karl Pertsch
UC Berkeley and Stanford
Faculty Candidate Talk: Karl Pertsch
Talk Title: Unlocking Scalable Robot Learning in the Real World Abstract: Many domains of machine learning, from language modeling to computer vision, have recently undergone a shift towards generalist models, whose broad generalization abilities are fueled by large and diverse real-world training datasets and high-capacity model architectures. In robotics, however, it has been challenging to […]
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Faculty Candidate
Aja Carter
Mechanical Engineering, Carnegie Mellon University
Faculty Candidate Talk: Aja Carter
Title: Paleorobotics: Design Principles 540 million years in the making Abstract: Bioinspiration has provided key design insights in many fields, particularly in robotics, where there has been an explosion of interest in quadrupedal robot “dogs” and bipedal humanoid robots. However, the designs prescribed by only considering living animals are a small subset of available designs; […]
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Faculty Candidate
Carmelo (Carlo) Sferrazza
UC Berkeley
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 […]
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Faculty Candidate
Jason Ma
University of Pennsylvania
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 [...]
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Faculty Events
Jiayong Zhang
Autonomous Exploration and Navigation, Full Autonomy System, and Beyond
Abstract: In this talk, I will present work on autonomous exploration and introduce our full autonomy system. The work started several years ago from lidar-based state estimation. Building upon the state estimation module, the autonomy system now contains multiple fundamental modules, e.g. collision avoidance, terrain traversability analysis, and waypoint following. At the high level of [...]
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Carnegie Mellon University