Cornell University

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Visible to the public High-level Perception and Control for Autonomous Reconfigurable Modular Robots

Submitted by hadaskg on Mon, 02/01/2016 - 5:36am. Contributors:

Abstract:

The objective of this research is to develop the theory, hardware and computational infrastructure that will enable automatically transforming user-defined, high-level tasks into correct, low-level perception informed control and configurations for modular robots.

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Visible to the public CPS: Synergy: Distributed Sensing, Learning, and Control in Dynamic Environments

Submitted by Bir Bhanu on Mon, 02/01/2016 - 5:36am. Contributors:

Abstract:

This poster presents progress of the synergistic framework and algorithms development for a group sensors to collaborate in disaster scenarios. A number of fundamental research results were obtained on scene understanding in a network of visual sensors. These were experimentally evaluated, and datasets and results from these evaluations have been released to the community.

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Visible to the public High-level Perception and Control for Autonomous Reconfigurable Modular Robots

Submitted by hadaskg on Mon, 11/10/2014 - 4:16pm. Contributors:

Abstract:

The objective of this research is to develop the theory, hardware and computational infrastructure that will enable automatically transforming user-defined, high-level tasks into correct, low-level perception informed control and configurations for modular robots.

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Visible to the public Coordinated Resource Management of Cyber-Physical-Social Power Systems

Submitted by ebitar on Mon, 11/10/2014 - 2:50pm. Contributors:

Abstract:

Large-scale critical infrastructure systems, including energy and transportation networks, comprise millions of individual elements (human, software and hardware) whose actions may be inconsequential in isolation but profoundly important in aggregate. The focus of this project is on the coordination of these elements via ubiquitous sensing, communications, computation, and control, with an emphasis on the electric grid.

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Visible to the public CPS: Synergy: Distributed Sensing, Learning and Control in Dynamic Environments

Submitted by Bir Bhanu on Mon, 11/10/2014 - 2:49pm. Contributors:

Abstract:

The objective of this project is to improve the performance of autonomous systems in dynamic environments, such as disaster recovery, by integrating perception, planning paradigms, learning, and databases. For the next generation of autonomous systems to be truly effective in terms of tangible performance improvements (e.g., long-term operations, complex and rapidly changing environments), a new level of intelligence must be attained.