Rika Antonova

43 total papers · 599 total citations
8 papers, 122 citations indexed

Rika Antonova is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rika Antonova has authored 8 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Control and Systems Engineering, 4 papers in Artificial Intelligence and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Rika Antonova’s work include Robot Manipulation and Learning (3 papers), Reinforcement Learning in Robotics (2 papers) and Gaussian Processes and Bayesian Inference (2 papers). Rika Antonova is often cited by papers focused on Robot Manipulation and Learning (3 papers), Reinforcement Learning in Robotics (2 papers) and Gaussian Processes and Bayesian Inference (2 papers). Rika Antonova collaborates with scholars based in United States, Sweden and Italy. Rika Antonova's co-authors include Jeannette Bohg, Marion Lepert, Jimmy Wu, Hang Yin, Szymon Rusinkiewicz, Thomas Funkhouser, Priya Sundaresan, Andy Zeng, Shuran Song and Danica Kragić and has published in prestigious journals such as Autonomous Robots, IEEE Robotics and Automation Letters and arXiv (Cornell University).