相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Robot learning towards smart robotic manufacturing: A review
Zhihao Liu et al.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2022)
A peg-in-hole robot assembly system based on Gauss mixture model
Jingzhou Song et al.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2021)
Hybrid Imitation Learning Framework for Robotic Manipulation Tasks
Eunjin Jung et al.
SENSORS (2021)
Emerging Paradigms for Robotic Manipulation: From the Lab to the Productive World
Maria Pozzi et al.
IEEE ROBOTICS & AUTOMATION MAGAZINE (2021)
A Survey on Policy Search Algorithms for Learning Robot Controllers in a Handful of Trials
Konstantinos Chatzilygeroudis et al.
IEEE TRANSACTIONS ON ROBOTICS (2020)
Learning robots to grasp by demonstration
Elias De Coninck et al.
ROBOTICS AND AUTONOMOUS SYSTEMS (2020)
DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor With Application to In-Hand Manipulation
Mike Lambeta et al.
IEEE ROBOTICS AND AUTOMATION LETTERS (2020)
Inertia Tensor Properties in Robot Dynamics Identification: A Linear Matrix Inequality Approach
Cristovao D. Sousa et al.
IEEE-ASME TRANSACTIONS ON MECHATRONICS (2019)
CasADi: a software framework for nonlinear optimization and optimal control
Joel A. E. Andersson et al.
MATHEMATICAL PROGRAMMING COMPUTATION (2019)
The grand challenges of Science Robotics
Guang-Zhong Yang et al.
SCIENCE ROBOTICS (2018)
Linear Matrix Inequalities for Physically Consistent Inertial Parameter Identification: A Statistical Perspective on the Mass Distribution
Patrick M. Wensing et al.
IEEE ROBOTICS AND AUTOMATION LETTERS (2018)
A tutorial on task-parameterized movement learning and retrieval
Sylvain Calinon
INTELLIGENT SERVICE ROBOTICS (2016)
Learning Physical Collaborative Robot Behaviors From Human Demonstrations
Leonel Rozo et al.
IEEE TRANSACTIONS ON ROBOTICS (2016)
Taking the Human Out of the Loop: A Review of Bayesian Optimization
Bobak Shahriari et al.
PROCEEDINGS OF THE IEEE (2016)
Learning Robot Manipulation Tasks With Task-Parameterized Semitied Hidden Semi-Markov Model
Ajay Kumar Tanwani et al.
IEEE ROBOTICS AND AUTOMATION LETTERS (2016)
Physical feasibility of robot base inertial parameter identification: A linear matrix inequality approach
Cristovao D. Sousa et al.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2014)
Robot learning from demonstration by constructing skill trees
George Konidaris et al.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2012)
Sampling-based algorithms for optimal motion planning
Sertac Karaman et al.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2011)
Active vision in robotic systems: A survey of recent developments
Shengyong Chen et al.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2011)
On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
A Wachter et al.
MATHEMATICAL PROGRAMMING (2006)
A hidden semi-Markov model with missing data and multiple observation sequences for mobility tracking
SZ Yu et al.
SIGNAL PROCESSING (2003)