This paper addresses the problem of designing a planning algorithm for anthropomorphic dual-arm robotic systems to find paths that mimics the movements of real human beings by using first-order synergies (correlations between joint velocities). The key idea of the proposal is to convert captured human movements into a vector field of velocities, defined in the configuration space of the robot, and use it to guide the search of a solution path. The motion planning is solved using the proposed algorithm, called FOS-BKPIECE, that is a bidirectional version of the KPIECE planner working with an improved version of the extension procedure of the VF-RRT planner. The obtained robot movements follow the directions of the defined vector field and hence allow the robot to solve the task in a human-like fashion. The paper presents a description of the proposed approach as well as results from conceptual and application examples, the latter using a real anthropomorphic dual-arm robotic system. A thorough comparison with other previous planning algorithms shows that the proposed approach obtains better results.
Rosell, J.; Nuño, E.; Claret, J.; Zaplana, I.; Garcia, N.; Akbari, A.; Ud Din, M.; Palomo, L.; Pérez, A.; Mas, Orestes; Basañez, L. Jornadas Nacionales de Robótica p. 1-6 Data de presentació: 2017-06-08 Presentació treball a congrés
In work environments, the use of dexterous mobile manipulators as co-workers poses several challenges with respect to the human-robot collaboration. On the one hand, its focus is in the autonomy (i.e. the mobile manipulators are required to cooperate
with humans by performing autonomously complementary tasks while moving around in the human environment and in their presence). On the other hand, its focus is in the interaction (i.e. with a virtual interaction via teleoperation, or with a physical interaction through an object jointly handled). The project summarized in this paper deals with the development of planning, reasoning and control algorithms, and of the necessary software to provide mobile manipulators with the autonomy (mainly through the simultaneous planning of tasks and motions) and the capacity of interaction mainly through teleoperation) to allow the cooperation with humans.
The paper deals with the problem of motion planning for anthropomorphic dual-arm robots. It introduces a measure of the similarity of the movements needed to solve two given tasks. Planning using this measure to select proper arm synergies for a given task improves the planning performance and the resulting plan.
Garcia, N.; Suarez, R.; Rosell, J. IEEE International Conference on Emerging Technologies and Factory Automation DOI: 10.1109/ETFA.2015.7301536 Data de presentació: 2015-09-10 Presentació treball a congrés
The paper deals with the problem of designing an RRT*-based planning algorithm that allows the user to guide the tree growth in a simple and transparent way. The key idea of the proposal is to create a planning algorithm, called HG-RRT*, that minimizes an optimization function over the configuration space where a state cost function is established. This state cost is defined as the combination of several potential fields. Each of
these potential fields will attract the solution path or move it away from certain areas. The planning algorithm will try to minimize the path length, the motion effort and the variations of the cost along the path. The paper presents a description of the proposed approach as well as simulation results from a conceptual and an application example, including a thorough comparison with the TRRT planning algorithm.
The paper deals with the problem of planning movements of dual-arm anthropomorphic systems, with the aim of reducing the computational cost of the problem and making the movements look as human-like as possible. The key idea of the proposal is the search of synergies of the dual-arm anthropomorphic system in order to use them to reduce the dimension of the search space while preserving human-like appearance. This idea was already developed and successfully used to plan movements of robotic hands, thus the extension to a dual-arm system is attractive. The paper presents a description of the proposed approach as well as real experimental results that encourage doing further research in this line.
This paper proposes a novel motion planning approach that exploits the concept of synergies (correlations) between degrees of freedom, extending it to the velocity space and calling them first-order synergies. An automatic partition method is defined to optimally divide the configuration space
into cells where first-order synergies are significantly different.
Using this partition, an algorithm that tends to grow a tree by extending the branches in the directions determined by the the first-order synergies of the cell where the leaf to be grown lies is introduced and called FOS-RRT. This allows the natural expansion of the tree along the directions determined by the data used to define the synergies. 2D examples illustrate the performance of the proposed approach, which is particularly attractive for potential applications in human-like robots using human synergies.
Rosell, J.; Pérez, A.; Akbari, A.; Ud Din, M.; Palomo, L.; Garcia, N. IEEE International Conference on Emerging Technologies and Factory Automation p. 1-8 Data de presentació: 2014-09-18 Presentació treball a congrés
This paper presents the software tool used at the Institute of Industrial and Control Engineering (IOC-UPC) for teaching and research in robot motion planning. The tool allows to cope with problems with one or more robots, being a generic robot defined as a kinematic tree with a mobile base, i.e. the tool can plan and simulate from simple two degrees of freedom free-flying robots to multi-robot scenarios with mobile manipulators equipped with anthropomorphic hands. The main core of planners is provided by the Open Motion Planning Library (OMPL). Different basic planners can be flexibly used
and parameterized, allowing students to gain insight into the different planning algorithms. Among the advanced features the tool allows to easily define the coupling between degrees of freedom, the dynamic simulation and the integration with task planers. It is principally being used in the research of motion planning strategies for hand-arm robotic systems.