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Modeling and recognition of actions through motor primitives

2008 IEEE International Conference on Robotics and Automation, 2008
We investigate modeling and recognition of object manipulation actions for the purpose of imitation based learning in robotics. To model the process, we are using a combination of discriminative (support vector machines, conditional random fields) and generative approaches (hidden Markov models).
David Martínez Mercado, Danica Kragic
openaire   +2 more sources

Unsupervised learning of sensory-motor primitives

Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439), 2004
The search for motor primitives has captured the attention of researches in both biological and computational motor control. Yet a theory of how to construct such primitives from first principles is lacking. Here we propose to do that by building a compact forward model of the sensory-motor periphery via unsupervised learning.
E. Todorov, Z. Ghahramani
openaire   +1 more source

Motor primitive-based control for lower-limb exoskeletons

2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), 2016
Assistive technology forecasts better autonomy for people with lifelong disabilities and for the elderly facing motor decline. As the population of developed countries is becoming greyer, there is thus a high probability of observing a significant increase in the demand for assistive locomotion devices.
Virginia Ruiz Garate   +6 more
openaire   +3 more sources

Discovering New Motor Primitives in Transition Graphs

2013
In this paper we propose a methodology for discovering new movement primitives in a database of example trajectories. The initial trajectory data, which is usually acquired from human demonstrations or by kinesthetic guiding, is clustered and organized into a binary tree, from which transition graphs at different levels of granularity are constructed ...
Miha Denisa, Ales Ude
openaire   +1 more source

Computational implications of motor primitives for cortical motor learning

Bernstein Conference 2024 abstract.
Schieferstein, Natalie   +2 more
openaire   +1 more source

Experiments with Motor Primitives in Table Tennis

2014
Jan Peters 0001   +2 more
openaire   +1 more source

Understanding visuo-motor primitives for motion synthesis and analysis

Computer Animation and Virtual Worlds, 2006
Yiannis Aloimonos
exaly  

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