Now showing items 1-10 of 15
Robot-assisted Surgery: A Platform for New Technologies and Algorithms
Intuitive Surgical is the global leader in the rapidly emerging field of robotic-assisted minimally invasive surgery. To date, skilled surgeons using da Vinci Systems have performed more than 3 million minimally invasive ...
Toward Robots that Understand People and Their Environment
To interact and collaborate with people in a natural way, robots must be able to recognize objects in their environments, accurately track the actions of humans, and estimate their goals and intentions. The last years have ...
Beyond Geometric Path Planning: Paradigms and Algorithms for Modern Robotics
The development of algorithms to quickly compute collision-free paths for high dimensional systems was a major achievement in the field of motion planning in the 2000s. Despite this progress, recent advances in affordable ...
The Future Has Arrived: Integrating Transformative Technologies in the Workplace
(Georgia Institute of Technology, 2016-11-18)
Robust Agility and Safety for Dynamic Aerial Manipulation and Legged Locomotion
(Georgia Institute of Technology, 2016-10)
Biological systems are able to move with great elegance, agility, and efficiency in a wide range of environments. Endowing machines with similar capabilities requires designing controllers that can address the challenges ...
Supersizing Self-Supervision: Learning Perception and Action Without Human Supervision
(Georgia Institute of Technology, 2016-11-09)
This talk will discuss how to learn representation for perception and action without using any manual supervision. Gupta will discuss how we can learn ConvNets for vision in a completely unsupervised manner using ...
Mixed-Integer Convex Formulations for Planning Nonlinear Dynamics in Complex Environments
(Georgia Institute of Technology, 2016-10-19)
Humanoid robots walking across intermittent terrain, robotic arms grasping multifaceted objects, or UAVs darting left or right around a tree — many of the dynamics and control problems we face today have an inherently ...
From (Inverse) Optimal Control to Joint (Cooperative) Sequential Manipulation and Motion Planning
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, ...
Stochastic Control: From Theory to Parallel Computation and Applications
For autonomous systems to operate in stochastic environments, they have to be equipped with fast decision-making processes to reason about the best possible action. Grounded on first principles in stochastic optimal control ...
Robotic and Haptic Manipulation
Autonomous manipulation remains one of the most important challenges for robots, especially in cluttered environments with uncertainty and unknowns. Haptic simulation of manipulation is highly desirable for virtual training, ...