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IROS
2007
IEEE
188views Robotics» more  IROS 2007»
14 years 1 months ago
Behavior maps for online planning of obstacle negotiation and climbing on rough terrain
Abstract— To autonomously navigate on rough terrain is a challenging problem for mobile robots, requiring the ability to decide whether parts of the environment can be traversed ...
Christian Dornhege, Alexander Kleiner
CHI
2010
ACM
13 years 10 months ago
Characteristics of pressure-based input for mobile devices
We conducted a series of user studies to understand and clarify the fundamental characteristics of pressure in user interfaces for mobile devices. We seek to provide insight to cl...
Craig Stewart, Michael Rohs, Sven G. Kratz, Georg ...
EMSOFT
2008
Springer
13 years 9 months ago
Workload-based configuration of MEMS-based storage devices for mobile systems
Because of its small form factor, high capacity, and expected low cost, MEMS-based storage is a suitable storage technology for mobile systems. However, flash memory may outperfor...
Mohammed G. Khatib, Ethan L. Miller, Pieter H. Har...
CDC
2008
IEEE
102views Control Systems» more  CDC 2008»
13 years 9 months ago
Search decisions for teams of automata
Abstract-- The dynamics of exploration vs exploitation decisions are explored in the context of robotic search problems. Building on prior work on robotic search together with our ...
Dimitar Baronov, John Baillieul
AAAI
2006
13 years 8 months ago
Action Selection in Bayesian Reinforcement Learning
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
Tao Wang