Ken Goldberg
University of California, Berkeley
Professor
Department of Electrical Engineering and Computer Sciences
Department of Industrial Engineering and Operations Research
School of Information
Research Area
#Computer science#Artificial intelligence#Robot#GRASP#Computer vision#Engineering#Automation#Cloud computing#Algorithm#Machine learning
SCIE paper information
Papers relevant to ‘Computer science’: 10
Research performance of SCIE papers matching with ‘Computer science’
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
A Survey of Research on Cloud Robotics and Automation
2015/01 IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING 2.697 Impact Factor 740 citations
Cloud-Based Grasp Analysis and Planning for Toleranced Parts Using Parallelized Monte Carlo Sampling
2015/04 IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING 2.697 Impact Factor 23 citations
Papers for author ‘Ken Goldberg’: 23
Number of published SCIE papers by year
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
A Survey of Research on Cloud Robotics and Automation
2015/01 IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING 2.697 Impact Factor 740 citations
Evaluation of PC-ISO for Customized, 3D Printed, Gynecologic 192-Ir HDR Brachytherapy Applicators
2015/01 JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS 1.444 Impact Factor 55 citations
conference information
Papers relevant to ‘Computer science’: 8
Research performance of Top-tier Conference matching with ‘Computer science’
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
RLlib: Abstractions for Distributed Reinforcement Learning
2018/07 ICML Top-tier Conference 210 citations
A sample-and-clean framework for fast and accurate query processing on dirty data
2014/06 SIGMOD Top-tier Conference 138 citations
Papers for author ‘Ken Goldberg’: 8
Number of published Top-tier Conference by year
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
RLlib: Abstractions for Distributed Reinforcement Learning
2018/07 ICML Top-tier Conference 210 citations
A sample-and-clean framework for fast and accurate query processing on dirty data
2014/06 SIGMOD Top-tier Conference 138 citations
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