Optimizing Motion Primitives to Make Symbolic Models More Predictive

doi 10.1109/icra.2013.6630974
Full Text
Abstract

Available in full text

Date
Authors
Publisher

IEEE

Related search

More Buildings Make More Generalizable Models—Benchmarking Prediction Methods on Open Electrical Meter Data

Machine Learning and Knowledge Extraction
2019English

Primitives for Human Motion: A Dynamical Approach

IFAC Proceedings Volumes
2002English

Search-Based Planning for Manipulation With Motion Primitives

2010English

Planning for Manipulation With Adaptive Motion Primitives

2011English

Use Your Bean to Make More Jack

Chemical and Engineering News
Chemical Engineering
1962English

Make More Digital Twins

Nature
Multidisciplinary
2019English

Interprocedural Symbolic Range Propagation for Optimizing Compilers

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2006English

More Than One Way to Make a Tail

EMBO Journal
ImmunologyMolecular BiologyBiochemistryMicrobiology NeuroscienceMedicineGenetics
2011English

Using Video Lectures to Make Teaching More Interactive

International Journal of Emerging Technologies in Learning
EngineeringEducationE-learning
2010English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy