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CHI
2008
ACM
14 years 8 months ago
Demonstrating the feasibility of using forearm electromyography for muscle-computer interfaces
We explore the feasibility of muscle-computer interfaces (muCIs): an interaction methodology that directly senses and decodes human muscular activity rather than relying on physic...
T. Scott Saponas, Desney S. Tan, Dan Morris, Ravin...
ICAS
2009
IEEE
142views Robotics» more  ICAS 2009»
14 years 2 months ago
Semantic Approach to Dynamic Coordination in Autonomous Systems
In open systems where the components, i.e. the agents and the resources, may be unknown at design time, or in dynamic and self-organizing systems evolving with time, there is a ne...
Artem Katasonov, Vagan Y. Terziyan
IEEEPACT
2009
IEEE
14 years 2 months ago
DDCache: Decoupled and Delegable Cache Data and Metadata
Abstract—In order to harness the full compute power of manycore processors, future designs must focus on effective utilization of on-chip cache and bandwidth resources. In this p...
Hemayet Hossain, Sandhya Dwarkadas, Michael C. Hua...
ICCCN
2007
IEEE
14 years 2 months ago
A Framework for Querying Sensor Networks Using Mobile Devices
—an interplay between mobile devices and static sensor nodes is envisioned in the near future. This will enable a heterogeneous design space that can offset the stringent resourc...
Shourui Tian, Sol M. Shatz, Yang Yu
ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
14 years 1 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu