Now showing items 21-40 of 110

    • Data-to-Decisions for Safe Autonomous Flight 

      Atkins, Ella (Georgia Institute of Technology, 2018-11-07)
      Traditional sensor data can be augmented with new data sources such as roadmaps and geographical information system (GIS) Lidar/video to offer emerging unmanned aircraft systems (UAS) and urban air mobility (UAM) a new ...
    • Deception, ExoNets, SmushWare, and Organic Data: New Frontiers In Neuro-Rehabilitation 

      Patton, James L. (Georgia Institute of Technology, 2019-04-24)
      Making use of visual display technology and human-robotic interfaces, many researchers have illustrated various opportunities to distort visual and physical realities. We have had success with interventions such as error ...
    • Decision Making in Robots and Animals 

      Lee, Daniel (2016-03-09)
      Current artificial intelligence systems for perception and action incorporate a number of techniques: optimal observer models, Bayesian filtering, probabilistic mapping, trajectory planning, dynamic navigation, and feedback ...
    • Deep Learning to Learn 

      Abbeel, Pieter (Georgia Institute of Technology, 2018-08-20)
      Reinforcement learning and imitation learning have seen success in many domains, including autonomous helicopter flight, Atari, simulated locomotion, Go, robotic manipulation. However, sample complexity of these methods ...
    • Developing Sensing and Robotics Technologies for Plant Phenomics 

      Li, Changying (Georgia Institute of Technology, 2017-10-25)
      Feeding a world population of 9 billion people by 2050 amidst increasing climate variability is one of the greatest challenges facing humanity. The genomics revolution provides unprecedented power to develop new and ...
    • Doing for Our Robots What Nature Did for Us 

      Kaelbling, Leslie (Georgia Institute of Technology, 2019-03-27)
      We, as robot engineers, have to think hard about our role in the design of robots and how it interacts with learning, both in “the factory” (that is, at engineering time) and in “the wild” (that is, when the robot is ...
    • Dynamic Animation and Robotics Toolkit 

      Liu, Karen (2014-11-12)
      Designing control algorithms for complex dynamic systems is a challenging and time consuming process. It often requires deriving nonlinear differential equations, formulating optimization problems, and solving numerous ...
    • Efficient Algorithms for Semantic Scene Parsing 

      Urtasun, Raquel (Georgia Institute of Technology, 2013-01-25)
      Developing autonomous systems that are able to assist humans in everyday’s tasks is one of the grand challenges in modern computer science. Notable examples are personal robotics for the elderly and people with disabilities, ...
    • Efficient Lifelong Machine Learning 

      Eaton, Eric R. (2015-02-11)
      Lifelong learning is a key characteristic of human intelligence, largely responsible for the variety and complexity of our behavior. This process allows us to rapidly learn new skills by building upon and continually ...
    • Enabling Technologies for More Accurate, Less Invasive Robotic Surgery 

      Webster, Robert J., III (Georgia Institute of Technology, 2012-09-05)
      This seminar will focus on recent results from the Vanderbilt Medical & Electromechanical Design Laboratory on concentric tube robots, capsule endoscopy, and robotic cochlear implant surgery, together with a brief discussion ...
    • Enhancing Human Capability with Intelligent Machine Teammates 

      Shah, Julie (Georgia Institute of Technology, 2017-02-22)
      Every team has top performers - people who excel at working in a team to find the right solutions in complex, difficult situations. These top performers include nurses who run hospital floors, emergency response teams, ...
    • The Evolution of Soft Robotics 

      Shepherd, Robert (Georgia Institute of Technology, 2017-10-18)
      The field of soft mechanisms and sensors provides an exciting opportunity for new hardware development in robotics, a field that is becoming more and more important. This talk describes the development of soft mechanisms, ...
    • Factor Graphs for Flexible Inference in Robotics and Vision 

      Dellaert, Frank (Georgia Institute of Technology, 2019-01-09)
      In robotics and computer vision, Simultaneous Localization and Mapping (SLAM) and Structure from Motion (SFM) are important and closely related problems in robotics and vision. I will review how SLAM, SFM and other problems ...
    • From (Inverse) Optimal Control to Joint (Cooperative) Sequential Manipulation and Motion Planning 

      Toussaint, Marc (2016-02-10)
      With this talk, my aim is to give a more integrated view on my research. I will start with the planning-as-inference framework and its implications in the context of stochastic optimal control. While this, in principle, ...
    • From Coexistence to Collaboration: Towards Reliable Collaborative Robots 

      Ravichandar, Harish (Georgia Institute of Technology, 2020-10-14)
      The field of robotics has made incredible progress over the past several decades. Indeed, we have built impressive robots capable of performing complex and intricate tasks in a variety of domains. Most modern robots, ...
    • From Learning Movement Primitives to Associative Skill Memories 

      Schaal, Stefan (Georgia Institute of Technology, 2013-08-21)
      Skillful and goal-directed interaction with a dynamically changing world is among the hallmarks of human perception and motor control. Understanding the mechanisms of such skills and how they are learned is a long-standing ...
    • From Odin to DARwIn: Robot Evolution by Intelligent Design 

      Hong, Dennis W. (Georgia Institute of Technology, 2013-02-20)
      Most mobile robots we see today utilize wheels or treads to move around. But why don't we see such locomotion mechanisms in nature? Or a better question we should ask is: why don't we use locomotion mechanisms used in ...
    • Fundamentals of Walking and Running: From Animal Experiments to Robot Demonstrations 

      Hurst, Jonathan W. (Georgia Institute of Technology, 2013-04-17)
      Dynamic walking and running are high-dimensional, highly dynamic, self-stable behaviors that are best implemented by a system comprised of passive elements, such as springs, and active control from sensors and computing. ...
    • The Future Has Arrived: Integrating Transformative Technologies in the Workplace 

      Mathiason, Garry G. (Georgia Institute of Technology, 2016-11-18)
    • Future of Autonomous Vehicles 

      Washington, Ken (2016-10-13)