Towards socially intelligent robots in human centered environment
type: Dataset
description: Robots are no longer going to be isolated machines working in factory or merely research platforms used in controlled lab environment. Very soon, robots will be the part of our day-to-day lives. Whether it is street, o ce, home or supermarket, robots will be there to assist and serve us. For such robots to be accepted and appreciated, they should explicitly consider the presence of human in all their planning and decision making strategies, whether it is for motion, manipulation or interaction. This thesis explores various socio-cognitive aspects ranging from perspective-taking, social navigation behaviors, cooperative planning, proactive behaviors to learning task semantics from demonstration. Further, by identifying key ingredients of these aspects, we equipped the robots with basic socio-cognitive intelligence, as a step towards making the robots to co-exist with us in complete harmony. In the context of socially acceptable navigation of a robot, it is a must that the robot should no longer treat us, the human, only as dynamic obstacles in the environment. For example, the robot should even decide to take a longer path, if it is satisfying the human's desire and expectation and not creating any confusion, fear, anger or surprise by its motion. This requires the robot to be able to reason about various criteria ranging from clearance, environment structure, unknown objects, social conventions, proximity constraints, presence of an individual or a group of people, etc. Similarly, for the task when the robot has to guide a person from his/her current position to another place, it should support the person's activities and guide him/her in the way he/she wants to be guided. It is quite natural that there will be intentional or unintentional deviations in the person's motion from the path expected by robot. Further, because of person's behavior of leave-taking or temporary suspending the guiding process, if required, the robot should exhibit goal oriented approaching …
landing page: https://theses.hal.science/tel-00798361
keyword: affordance-graph
keyword: agent-state-analysis
keyword: cooperative-robot
keyword: domestic-robots
keyword: emulation-learning
keyword: grounding-changes
keyword: grounding-interaction
keyword: human-robot-interaction-hri
keyword: human-robot-interactive-manipulation
keyword: infoeu-reposemanticsdoctoralthesis
keyword: infoinfo-rbcomputer-science-csrobotics-csro
keyword: learning-from-demonstration
keyword: mightability-analysis
keyword: mightability-maps
keyword: multi-state-perspective-taking
keyword: pas-de-mots-cles-en-francais
keyword: proactive-behavior
keyword: reasoning-about-human
keyword: robot-assistant
keyword: service-robot
keyword: shared-attention
keyword: shared-plan
keyword: situation-assessment
keyword: social-robot-guide
keyword: socially-aware-navigation
keyword: socially-intelligent-robot
keyword: spatial-reasoning
keyword: theory-of-hri
keyword: theory-of-proactivity
keyword: theses
issued: 2026-05-13T06:41:53.056965
modified: 2026-05-13T06:41:53.056979
language: en
contact point: Organization
  fn: CCSD

test_moissonnage_selune
type: Agent

Towards socially intelligent robots in human centered environment
type: Distribution
format: HTML
access URL: https://theses.hal.science/tel-00798361
issued: 2026-05-13T06:41:53.198171
modified: 2026-05-13T06:41:52.955378