Active learning is a decision-making process. In both abstract and physical settings, active
learning demands both analysis and action. This is a review of active learning in robotics …

A simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)
assisted multi-user downlink multiple-input single-output (MISO) communication system is …

Robots with the ability to balance time against the thoroughness of search have the potential
to provide time-critical assistance in applications such as search and rescue. Current …

In this paper, we address the problem of safe trajectory planning for autonomous search and
exploration in constrained, cluttered environments. Guaranteeing safe (collision-free) …

Our work is motivated by humanitarian assistant and disaster relief (HADR) where often it is
critical to find signs of life in the presence of conflicting criteria, objectives, and information …

Ergodic search enables optimal exploration of an information distribution with guaranteed
asymptotic coverage of the search space. However, current methods typically have …

In robotics, ergodic control extends the tracking principle by specifying a probability
distribution over an area to cover instead of a trajectory to track. The original problem is …

With growing access to versatile robotics, it is beneficial for end users to be able to teach
robots tasks without needing to code a control policy. One possibility is to teach the robot …

This letter presents a whole-body robot control method for exploring and probing a given
region of interest. The ergodic control formalism behind such an exploration behavior …

Tactile perception is important for robotic systems that interact with the world through touch.
Touch is an active sense in which tactile measurements depend on the contact properties of …