Search for tag: "machines"

Jan Peters - Robot Skill Learning: Quo Vadis?

Autonomous robots that can assist humans in situations of daily life have been a long standing vision of robotics, artificial intelligence, and cognitive sciences. A first step towards this goal is…

From  Kathryn Gentilello on November 24th, 2020 1 plays 0  

Craig Buhr - Reinforcement Learning: Leveraging Deep Learning for Controls

Reinforcement learning is getting a lot of attention lately. People are excited about its potential to solve complex problems in areas such as robotics and automated driving, where traditional…

From  Kathryn Gentilello on November 10th, 2020 4 plays 0  

Harish Ravichandar - From Coexistence to Collaboration: Towards Reliable Collaborative Robots

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.…

From  Kathryn Gentilello on October 20th, 2020 10 plays 0  

Star Wars: The Rise of Robots and Intelligent Machines

A long time ago, in a galaxy far far away, a space opera movie captured the imaginations of roboticists, researchers, and writers from around the world. Over the last 43 years, Star Wars has had an…

From  Kathryn Gentilello on October 5th, 2020 16 plays 0  

Elliott Rouse, etal - Cost of Transport, the Correct Metric for Mobile Systems?

Energetic cost of locomotion is often the gold standard measures used in autonomous robotic walking for efficiency as well as humans augmented with lower limb wearable robotics. The panel will…

From  Kathryn Gentilello on September 24th, 2020 48 plays 0  

Svetlana Lazebnik - Computer Vision: Looking Back to Look Forward - Ethical and Societal Impacts of Computer Vision Technologies

These days, established computer vision professors are given to complaining, with varying degrees of seriousness, that current Ph.D. students do not know any work in the field that pre-dates the…

From  Kathryn Gentilello on February 14th, 2020 31 plays 0  

Svetlana Lazebnik - Computer Vision: Looking Back to Look Forward - Future Trends

These days, established computer vision professors are given to complaining, with varying degrees of seriousness, that current Ph.D. students do not know any work in the field that pre-dates the…

From  Kathryn Gentilello on February 14th, 2020 24 plays 0  

Svetlana Lazebnik - Computer Vision: Looking Back to Look Forward- History of Ideas in Recognition: Part II

These days, established computer vision professors are given to complaining, with varying degrees of seriousness, that current Ph.D. students do not know any work in the field that pre-dates the…

From  Kathryn Gentilello on February 14th, 2020 17 plays 0  

Svetlana Lazebnik - Computer Vision: Looking Back to Look Forward- History of Ideas in Recognition: Part I

These days, established computer vision professors are given to complaining, with varying degrees of seriousness, that current Ph.D. students do not know any work in the field that pre-dates the…

From  Kathryn Gentilello on February 6th, 2020 9 plays 0  

Svetlana Lazebnik - Computer Vision: Looking Back to Look Forward - Connections to Cognitive Science and Psychophysics

These days, established computer vision professors are given to complaining, with varying degrees of seriousness, that current Ph.D. students do not know any work in the field that pre-dates the…

From  Kathryn Gentilello on February 6th, 2020 13 plays 0  

Svetlana Lazebnik - Computer Vision: Looking Back to Look Forward - Introduction and Historical Overview

These days, established computer vision professors are given to complaining, with varying degrees of seriousness, that current Ph.D. students do not know any work in the field that pre-dates the…

From  Kathryn Gentilello on February 6th, 2020 19 plays 0  

Jonathan How - Navigation and Mapping for Robot Teams in Uncertain Environments

Our work addresses the planning, control, and mapping issues for autonomous robot teams that operate in challenging, partially observable, dynamic environments with limited field-of-view sensors. In…

From  Kathryn Gentilello on February 3rd, 2020 38 plays 0  

Katherine Skinner - Learning from the Field: Physically-based Deep Learning to Advance Robot Vision in Natural Environments

Field robotics refers to the deployment of robots and autonomous systems in unstructured or dynamic environments across air, land, sea, and space. Robust sensing and perception can enable these…

From  Kathryn Gentilello on January 13th, 2020 6 plays 0  

Stephen Buerger - Toward Dynamic, Tactical, Remote Robotic Ops: Active Perception and Other Key Technologies

Dynamic, tactical, remote operations in which unmanned systems must manage multiple, changing objectives in uncertain, evolving and potentially adversarial environments, without the benefit of prior…

From  Kathryn Gentilello on November 21st, 2019 5 plays 0  

Daniel Goldman - Robophysics: Physics Meets Robotics

Robots will soon move from the factory floor and into our lives (e.g., autonomous cars, package delivery drones, and search-and-rescue devices). However, compared to living systems, robot…

From  Kathryn Gentilello on November 12th, 2019 26 plays 0  

Robert Howe - Uniting Robots and Ultrasound for Cardiac Repair

Minimally invasive techniques have revolutionized many areas of surgery, but heart surgery has seen limited progress. We are working to combine ultrasound imaging and robotic manipulation to enable…

From  Kathryn Gentilello on October 25th, 2019 4 plays 0