Now showing items 1-10 of 62
Reinforcement Learning: Leveraging Deep Learning for Control
(Georgia Institute of Technology, 2020-11-04)
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 control methods can be ...
(Georgia Institute of Technology, 2022-10-19)
Who would want to make a mobile robot that has only a single spherical wheel? Well, I did! My talk will trace the development of the first successful “ballbot,” beginning in 2004. Now, many ballbots have been built or ...
Navigation and Mapping for Robot Teams in Uncertain Environments
(Georgia Institute of Technology, 2020-01-22)
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 such scenarios, individual ...
Robotics and Warehouse Automation at Berkshire Grey
(Georgia Institute of Technology, 2021-09-22)
This talk tells the Berkshire Grey story, from its founding in 2013 to its IPO earlier this year — the first robotics IPO since iRobot over 15 years ago. Berkshire Grey produces automated systems for e-commerce order ...
Composable Optimization for Robotic Motion Planning and Control
(Georgia Institute of Technology, 2022-11-02)
Contact interactions are pervasive in key real-world robotic tasks like manipulation and walking. However, the non-smooth dynamics associated with impacts and friction remain challenging to model, and motion planning and ...
Field Robotics and Automation at GeorgiaTech Lorraine: An overview
(Georgia Institute of Technology, 2022-03-30)
From Coexistence to Collaboration: Towards Reliable Collaborative Robots
(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, ...
Wearable Device Design and Biomechanical Research at Sandia National Labs
(Georgia Institute of Technology, 2022-02-09)
Musculoskeletal biomechanics research has provided numerous important insights into human movement that inform the design of assistive devices. These devices have the potential to retore or rehabilitate lost function, ...
Learning from the Field: Physically-based Deep Learning to Advance Robot Vision in Natural Environments
(Georgia Institute of Technology, 2020-01-08)
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 systems to perform tasks ...
Towards Robust HRI: A Stochastic Optimization Approach
(Georgia Institute of Technology, 2021-03-31)
The growth of scale and complexity of interactions between humans and robots highlights the need for new computational methods to automatically evaluate novel algorithms and applications. Exploring the diverse scenarios ...