Visual place recognition (VPR) is the process of recognising a previously visited place using
visual information, often under varying appearance conditions and viewpoint changes and …

Abstract The Autonomous City Explorer (ACE) project combines research from autonomous
outdoor navigation and human-robot interaction. The ACE robot is capable of navigating …

This paper reports about a human-robot interaction field trial conducted with the
autonomous mobile robot ACE (Autonomous City Explorer) in a public place, where the ACE …

This paper presents a cognition-inspired agnostic framework for building a map for Visual
Place Recognition. This framework draws inspiration from human-memorability, utilizes the …

Scene categorization is an important mechanism for providing high-level context which can
guide methods for a more detailed analysis of scenes. State-of-the-art techniques like …

In visual place recognition (VPR), map segmentation (MS) is a preprocessing technique
used to partition a given view-sequence map into place classes (ie, map segments) so that …

In scenarios that require a close collaboration and knowledge transfer between
inexperienced users and robots, the ldquolearning by interactingrdquo paradigm goes hand …

Enhancing perception of the local environment with semantic information like the room type
is an important ability for agents acting in their environment. Such high-level knowledge can …

This paper presents an Autonomous Proxemic System (APS) for a mobile robot. It detects
people in the surroundings and manipulates the robot's motions to approach them keeping …

This paper is concerned with automated appearance-based place detection. This requires
the robot to partition the incoming visual stream in a place-identity independent manner and …