RI Seminar
Seth Hutchinson
Professor & KUKA Chair for Robotics
School of Interactive Computing, Georgia Institute of Technology

Design, Modeling and Control of a Robot Bat: From Bio-inspiration to Engineering Solutions

Gates Hillman Center 6115

Abstract: In this talk, I will describe our recent work building a biologically-inspired bat robot. Bats have a complex skeletal morphology, with both ball-and-socket and revolute joints that interconnect the bones and muscles to create a musculoskeletal system with over 40 degrees of freedom, some of which are passive. Replicating this biological system in a [...]

RI Seminar
Pieter Abbeel
Professor
Director, Berkeley Robot Learning Lab & Co-Director, Berkeley Artificial Intelligence (BAIR) Lab, UC Berkeley

Deep Learning for Robotics

1305 Newell Simon Hall

Abstract: Programming robots remains notoriously difficult.  Equipping robots with the ability to learn would by-pass the need for what otherwise often ends up being time-consuming task specific programming.  This talk will describe recent progress in deep reinforcement learning (robots learning through their own trial and error), in apprenticeship learning (robots learning from observing people), and [...]

RI Seminar
Chung-Wei Lin
Assistant Professor
Department of Computer Science and Information Engineering (CSIE), National Taiwan University (NTU)

Modeling, Design, and Analysis for Intelligent Vehicles: Intersection Management, Security-Aware Design, and Automotive Design Automation

Newell-Simon Hall 4305

Abstract: Advanced Driver Assistance Systems (ADAS), autonomous functions, and connected applications bring a revolution to automotive systems and software. In this talk, several research topics in the domain of automotive systems and software will be introduced: (1) graph-based modeling, scheduling, and verification for intersection management, (2) security-aware design and analysis considering timing, game theory, and [...]

RI Seminar
Rebecca Taylor
Assistant Professor
Mechanical Engineering, Carnegie Mellon University

DNA and gammaPNA in programmable nanomaterials for sensing, robotics and manufacturing

Gates Hillman Center 6115

Abstract: When programmable nanomaterials are used in conjunction with rapid microfabrication techniques like two photon polymerization, it becomes possible to rapidly prototype microstructures with nanoscale components. In this research presentation I introduce DNA nanotechnology using a commonly used simple nanotube motif, and I will illustrate how nucleic acid nanotubes can be used in sensing, robotics [...]

RI Seminar
Girish Chowdhary
Assistant Professor
Department of Agricultural and Biological Engineering, University of Illinois at Urbana-Champaign

The Robots are Coming – to your Farm! AKA: Autonomous and Intelligent Robots in Unstructured Field Environments

Gates Hillman Center 6115

Abstract: What if a team of collaborative autonomous robots grew your food for you? In this talk, I will discuss some key advances in robotics, machine learning, and autonomy that will one day enable teams of small robots to grow food for you in your backyard in a fundamentally more sustainable way than modern mega-farms! [...]

RI Seminar
Jeff Clune
Associate Professor
Computer Science, University of Wyoming

Improving Robot and Deep Reinforcement Learning via Quality Diversity and Open-Ended Algorithms

Gates Hillman Center 6115

Abstract: Quality Diversity (QD) algorithms are those that seek to produce a diverse set of high-performing solutions to problems. I will describe them and a number of their positive attributes. I will then summarize our Nature paper on how they, when combined with Bayesian Optimization, produce a learning algorithm that enables robots, after being damaged, to adapt in 1-2 minutes [...]

RI Seminar
Sam Burden
Assistant Professor
Electrical & Computer Engineering, University of Washington

Toward telelocomotion: human sensorimotor control of contact-rich robot dynamics

1305 Newell Simon Hall

Abstract: Human interaction with the physical world is increasingly mediated by automation -- planes assist pilots, cars assist drivers, and robots assist surgeons. Such semi-autonomous machines will eventually pervade our world, doing dull and dirty work, assisting the elderly and disabled, and responding to disasters. Recent results (e.g. from the DARPA Robotics Challenge) demonstrate that, [...]