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AIPS
2000
14 years 11 months ago
Probabilistic Hybrid Action Models for Predicting Concurrent Percept-Driven Robot Behavior
This paper develops Probabilistic Hybrid Action Models (PHAMs), a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans. PHA...
Michael Beetz, Henrik Grosskreutz
VL
1996
IEEE
105views Visual Languages» more  VL 1996»
15 years 1 months ago
Composing Complex Behavior from Simple Visual Descriptions
An often-mentioned advantage of rule-based programming languages is that a program can be extended simply by adding a few more rules. In practice however, the rules tend to be dep...
Roland Hübscher
ICCD
2003
IEEE
105views Hardware» more  ICCD 2003»
15 years 6 months ago
Power Fluctuation Minimization During Behavioral Synthesis using ILP-Based Datapath Scheduling
— We model the power fluctuation as cycle-to-cycle power gradient and minimize the mean of the power gradients using ILP. We propose scheduling schemes for three modes of datapa...
Saraju P. Mohanty, N. Ranganathan, Sunil K. Chappi...
IUI
2004
ACM
15 years 3 months ago
An intelligent 3D user interface adapting to user control behaviors
The WALK mode is one of the most common navigation interfaces for 3D virtual environments. However, due to the limited view angle and low frame rate, users are often blocked by ob...
Tsai-Yen Li, Shu-Wei Hsu
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
14 years 4 months ago
Model-on-Demand predictive control for nonlinear hybrid systems with application to adaptive behavioral interventions
This paper presents a data-centric modeling and predictive control approach for nonlinear hybrid systems. System identification of hybrid systems represents a challenging problem b...
Naresh N. Nandola, Daniel E. Rivera