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» Tracking human motion and actions for interactive robots
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HAPTICS
2002
IEEE
15 years 4 months ago
Building a Task Language for Segmentation and Recognition of User Input to Cooperative Manipulation Systems
We present the results of using Hidden Markov Models (HMMs) for automatic segmentation and recognition of user motions. Previous work on recognition of user intent with man/machin...
C. Sean Hundtofte, Gregory D. Hager, Allison M. Ok...
ICRA
1995
IEEE
151views Robotics» more  ICRA 1995»
15 years 3 months ago
Learning Impedance Control for Robotic Manipulators
—Learning control is a concept for controlling dynamic systems in an iterative manner. It arises from the recognition that robotic manipulators are usually used to perform repeti...
Chien-Chern Cheah, Danwei Wang
CVPR
2008
IEEE
16 years 1 months ago
Markerless motion capture of man-machine interaction
This work deals with modeling and markerless tracking of athletes interacting with sports gear. In contrast to classical markerless tracking, the interaction with sports gear come...
Bodo Rosenhahn, Christian Schmaltz, Thomas Brox, J...
AMS
2005
Springer
143views Robotics» more  AMS 2005»
15 years 5 months ago
Integration of a Sound Source Detection into a Probabilistic-based Multimodal Approach for Person Detection and Tracking
Abstract. Dealing with methods of Human-Robot-Interaction and using a real mobile robot, stable methods for people detection and tracking are fundamental features of such a system ...
Robert Brückmann, Andrea Scheidig, Christian ...
RSS
2007
136views Robotics» more  RSS 2007»
15 years 1 months ago
The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
Ron Alterovitz, Thierry Siméon, Kenneth Y. ...