Robot perception is the capability of a robot to estimate and understand its surroundings to the degree that enables it to navigate and interact with the environment. Right at the core of robot perception lies the problem of building an internal model of the robot’s surroundings using onboard sensor data and prior knowledge. Although the internal model of the environment can be … [Read more...] about Computer and Robot Vision: Past, Present, and Future [TC Spotlight]
Training data
Learning Fast and Precise Pixel-to-Torque Control: A Platform for Reproducible Research of Learning on Hardware
In the field, robots often need to operate in unknown and unstructured environments, where accurate sensing and state estimation (SE) become a major challenge. Cameras have been used with great success in mapping and planning in such environments [1] as well as complex but quasi-static tasks, such as grasping [2], but are rarely integrated into the control loop for unstable … [Read more...] about Learning Fast and Precise Pixel-to-Torque Control: A Platform for Reproducible Research of Learning on Hardware
