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Abstract

Robot navigation in the presence of humans raises new issues for motion planning and control when the humans must be taken explicitly into account. We claim that a human aware motion planner (HAMP) must not only provide safe robot paths, but also synthesize good, socially acceptable and legible paths. This paper focuses on a motion planner that takes explicitly into account its human partners by reasoning about their accessibility, their vision field and their preferences in terms of relative human-robot placement and motions in realistic environments. This planner is part of a human-aware motion and manipulation planning and control system that we aim to develop in order to achieve motion and manipulation tasks in the presence or in synergy with humans.

Mots-Clés / Keywords

Abstract

Pivoting manipulation has such advantages as dexterity and safety over other methods to move bulky or heavy objects. In this paper we aim to show that a polyhedral object can be displaced to arbitrary position and orientation on a plane (i.e. such a pivoting system is controllable). More than that we show it is small time controllable, i.e. the reachable space from a starting point contains always a neighbor no matter how cluttered the environment is. As a consequence of this analysis, we propose a steering method to plan a manipulation path to be performed by a humanoid robot: first we use a classical nonholonomic path planner that accounts for the robot motion constraints, and then we transform that path into a sequence of pivoting operations. While the feasibility of elementary pivoting tasks has been already experienced by the humanoid robot HRP-2 [2], we present here the very first simulations of the plans generated by our steering method.

Abstract

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.

Abstract

In military missions in hostile environments involving teams of UAVs flying in formation, it is important to get the maximum benefits of the auto-protection systems of each aircraft to enhance the global security and efficiency of the team. One way to achieve this is to select a proper configuration for the formation. In this paper, we present an approach to autonomously adapt the configuration of a formation and we focus on its evaluation within a realistic framework where each UAV is simulated independently and communicate through a network.

Abstract

Robots' interaction with humans raises new issues for geometrical reasoning where the humans must be taken explicitly into account. We claim that a human-aware motion system must not only elaborate safe robot motions, but also synthesize good, socially acceptable and legible movement. This paper focuses on a manipulation planner and a placement mechanism that take explicitly into account its human partners by reasoning about their accessibility, their vision field and their preferences. This planner is part of a human-aware motion and manipulation planning and control system that we aim to develop in order to achieve motion and manipulation tasks in presence or in synergy with humans.

Abstract

This paper presents a software component, the plan database, which provides the needed services to define plans, execute them and more importantly adapt them during execution. This plan database handles fully dynamic plans (insertion and removal of tasks), defines task transformation operators and provides tools for safe concurrent execution and modification of plans. These features are essential in multi- robot and human-robot contexts, where tasks need to be easily passed between systems and plan adaptation helps coping with the unpredictability inherent to systems where multiple agent make decisions.

Mots-Clés / Keywords

Abstract

This paper presents a software component, the plan database, which provides the needed services to define plans, execute them and more importantly adapt them during execution. This plan database handles fully dynamic plans (insertion and removal of tasks), defines task transformation operators and provides tools for safe concurrent execution and modification of plans. These features are essential in multi-robot and human-robot contexts, where tasks need to be easily passed between systems and plan adaptation helps coping with the unpredictability inherent to systems where multiple agent make decisions.

Mots-Clés / Keywords

Mots-Clés / Keywords