Towards human-aware cognitive robots (original) (raw)

Planning human centered robot activities

2007 IEEE International Conference on Systems, Man and Cybernetics, 2007

This paper addresses high-level robot planning issues for an interactive cognitive robot that has to act in presence or in collaboration with a human partner. We describe a task planner called HATP (for Human Aware Task Planner). HATP is especially designed to handle a set of human-centered constraints in order to provide "socially acceptable" plans that are oriented toward collaborative task achievement. We provide an overall description of HATP and discuss its main structure and algorithmic features.

Task planning for human-robot interaction

2005

Human-robot interaction requires explicit reasoning on the human environment and on the robot capacities to achieve its tasks in a collaborative way with a human partner.

Planning and Plan-execution for Human-Robot Cooperative Task achievement

Human Robot cooperation brings several challenges to autonomous robotics such as adoption of a pro-active behavior, situation analysis and goal generation, intention explanation and adaptation and choice of a correct behavior toward the human. In this paper, we describe a decisional architecture for human robot interaction which addresses some of these challenges. The description will be centered on a planner called HATP (Human Aware Task Planner) and its capacity to synthesize plans for human robot teamwork that respect social conventions and that favour acceptable collaborative behaviors. We provide an overall description of HATP and its integration in a complete implemented architecture. We also illustrate the performance of our system on a daily life scenario achieved by a robot in interaction with a human partner in a realistic setup.

Plan-Based Control of Joint Human-Robot Activities

KI - Künstliche Intelligenz, 2010

Cognition in technical systems is especially relevant for the interaction with humans. We present a newly emerging application for autonomous robots: companion robots that are not merely machines performing tasks for humans, but assistants that achieve joint goals with humans. This collaborative aspect entails specific challenges for AI and robotics. In this article, we describe several planning and action-related problems for human-robot collaboration and point out the challenges to implement cognitive robot assistants.

A framework for human-aware robot planning

2008

Robots that share their workspace with humans, like household or service robots, need to take into account the presence of humans when planning their actions. In this paper, we present a framework for human-aware planning in which we consider three kinds of human-robot interaction. We focus in particular on the core module of the framework, a human-aware planner that generates a sequence of actions for a robot, taking into account the status of the environment, the goals of the robot and the forecasted plan of the human. We present a first realization of this planner, together with two simple experiments that demonstrate the feasibility of our approach.

Artificial cognition for social human–robot interaction: An implementation

Artificial Intelligence, 2017

Human-Robot Interaction challenges Artificial Intelligence in many regards: dynamic, partially unknown environments that were not originally designed for robots; a broad variety of situations with rich semantics to understand and interpret; physical interactions with humans that requires fine, low-latency yet socially acceptable control strategies; natural and multi-modal communication which mandates common-sense knowledge and the representation of possibly divergent mental models. This article is an attempt to characterise these challenges and to exhibit a set of key decisional issues that need to be addressed for a cognitive robot to successfully share space and tasks with a human. We identify first the needed individual and collaborative cognitive skills: geometric reasoning and situation assessment based on perspective-taking and affordance analysis; acquisition and representation of knowledge models for multiple agents (humans and robots, with their specificities); situated, natural and multi-modal dialogue; human-aware task planning; human-robot joint task achievement. The article discusses each of these abilities, presents working implementations, and shows how they combine in a coherent and original deliberative architecture for human-robot interaction. Supported by experimental results, we eventually show how explicit knowledge management, both symbolic and geometric, proves to be instrumental to richer and more natural human-robot interactions by pushing for pervasive, human-level semantics within the robot's deliberative system.

Constructing human-robot interaction with standard cognitive architecture

2019

This paper discusses how to extend cognitive models with an explicit interaction model. The work is based on the Standard Model of Cognitive Architecture which is extended by an explicit model for (spoken) interactions following the Constructive Dialogue Modelling (CDM) approach. The goal is to study how to integrate a cognitively appropriate framework into an architecture which allows smooth communication in human-robot interactions, and the starting point is to model construction of shared understanding of the dialogue context and the partner’s intentions. Implementation of conversational interaction is considered important in the context of social robotics which aim to understand and respond to the user’s needs and affective state. The paper describes integration of the architectures but not experimental work towards this goal.