RI Seminar
Claire J. Tomlin
Professor
Electrical Engineering & Computer Sciences, UC Berkeley

Safe Learning in Robotics

1305 Newell Simon Hall

Abstract: A great deal of research in recent years has focused on robot learning.  In many applications, guarantees that specifications are satisfied throughout the learning process are paramount. For the safety specification, we present a controller synthesis technique based on the computation of reachable sets, using optimal control and game theory.  In the first part [...]

RI Seminar
Hanumant Singh
Professor
Mechanical & industrial Engineering, Northeastern University

Bipolar Robotics – From the Arctic to the Antarctic with a stop for Fisheries in the middle latitudes.

1305 Newell Simon Hall

Abstract: The Arctic, Antarctic and Greenland remain some of the least explored parts of the planet. This talk looks at efforts over the last decade to explore areas under-ice which have traditionally been difficult to access. The focus of the talk will be on the robots, the role of communications over low bandwidth acoustic links, [...]

RI Seminar
Assistant Professor
Robotics Institute,
Carnegie Mellon University

Learning Robot Manipulation Skills through Experience and Generalization

1305 Newell Simon Hall

Abstract: In the future, robots could be used to take care of the elderly, perform household chores, and assist in hazardous situations. However, such applications require robots to manipulate objects in unstructured and everyday environments. Hence, in order to perform a wide range of tasks, robots will need to learn manipulation skills that generalize between [...]

RI Seminar
George Konidaris
Assistant Professor
Department of Computer Science, Brown University

Signal to Symbol (via Skills)

1305 Newell Simon Hall

Abstract: While recent years have seen dramatic progress in the development of affordable, general-purpose robot hardware, the capabilities of that hardware far exceed our ability to write software to adequately control. The key challenge here is one of abstraction: generally capable behavior requires high-level reasoning and planning, but perception and actuation must ultimately be performed [...]

RI Seminar
Peter K. Allen
Professor of Computer Science
Department of Computer Science, Columbia University

Multi-Modal Geometric Learning for Grasping

1305 Newell Simon Hall

Abstract:  In this talk, we will describe methods to enable robots to grasp novel objects using multi-modal data and machine.  The starting point is an architecture to enable robotic grasp planning via shape completion using a single occluded depth view of objects.  Shape completion is accomplished through the use of a 3D CNN. The network [...]

RI Seminar
Dave Rollinson
Co-Founder
HEBI Robotics

Building a Force-Controlled Actuator (Company)

1305 Newell Simon Hall

Abstract: In 2014, I was lucky enough to be one of 5 people to start HEBI Robotics, with the dream of eventually making the task of building custom robots as easy as building with Lego.  A few years later we are now 10 people, and our first product, a series of modular force-controlled actuators, is [...]