Van Eden, BeatriceRosman, Benjamin S2019-03-052019-03-052019-01Van Eden, B. and Rosman, B.S. 2019. An overview of robot vision. RobMech 2019, 27-29 January 2019, Bloemfontein, South Africahttp://hdl.handle.net/10204/10736Paper delivered at RobMech 2019, 27-29 January 2019, Bloemfontein, South AfricaRobot vision is an interdisciplinary field that deals with how robots can be made to gain high-level understanding from digital images or videos. Understanding an image at the pixel level often does not provide enough information for decision making and action taking. In this case, higher level semantic information that describes the image is required. This helps the robot to accomplish complex tasks that require visual understanding. For robots to add value they need to be sufficiently effective at executing tasks in different settings. Despite many impressive advances in robot vision, robots still lack the ability to function as humans do in complex environments. Importantly, this includes being able to interpret and understand the perceptual complexities of the world. Robot vision is dependant on ideas from both computer vision and machine learning. In this paper we provide a overview of the advances in these disciplines and how they contribute to robot vision.enRobot visionMachine learningComputer visionDeep learningConference PresentationVan Eden, B., & Rosman, B. S. (2019). An overview of robot vision. http://hdl.handle.net/10204/10736Van Eden, Beatrice, and Benjamin S Rosman. "An overview of robot vision." (2019): http://hdl.handle.net/10204/10736Van Eden B, Rosman BS, An overview of robot vision; 2019. http://hdl.handle.net/10204/10736 .TY - Conference Presentation AU - Van Eden, Beatrice AU - Rosman, Benjamin S AB - Robot vision is an interdisciplinary field that deals with how robots can be made to gain high-level understanding from digital images or videos. Understanding an image at the pixel level often does not provide enough information for decision making and action taking. In this case, higher level semantic information that describes the image is required. This helps the robot to accomplish complex tasks that require visual understanding. For robots to add value they need to be sufficiently effective at executing tasks in different settings. Despite many impressive advances in robot vision, robots still lack the ability to function as humans do in complex environments. Importantly, this includes being able to interpret and understand the perceptual complexities of the world. Robot vision is dependant on ideas from both computer vision and machine learning. In this paper we provide a overview of the advances in these disciplines and how they contribute to robot vision. DA - 2019-01 DB - ResearchSpace DP - CSIR KW - Robot vision KW - Machine learning KW - Computer vision KW - Deep learning LK - https://researchspace.csir.co.za PY - 2019 T1 - An overview of robot vision TI - An overview of robot vision UR - http://hdl.handle.net/10204/10736 ER -