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We present a multi-contact motion planning method that generates dynamic joint trajectories for multi-body robots that satisfy a set of continuous constraints. We highlight two variants when it comes to generate a single-contact or a multi-contact motion: the presence of the continuous equality geometrical constraints and of the contact forces. In this work, we compute the free-flyer trajectory and...
This paper presents a trajectory planning algorithm for a robot operating in dynamic human environments. Environments such as pedestrian streets, hospital corridors, train stations or airports. We formulate the problem as planning a minimal cost trajectory through a potential field, defined from the perceived position and motion of persons in the environment. A Rapidly-exploring Random Tree (RRT)...
At the heart of multi-robot task allocation lies the ability to compare multiple options in order to select the best. In some domains this utility evaluation is not straightforward, for example due to complex and unmodeled underlying dynamics or an adversary in the environment. Explicitly modeling these extrinsic influences well enough so that they can be accounted for in utility computation (and...
In this paper we consider the problem of multi-objective trajectory planning to Parallel Kinematic Machines (PKMs). A two stage system is developed. In a first stage is an offline planning based on robot kinematics and dynamics, including actuators, is performed to generate a large dataset of trajectories, these trajectory cover mostly of the robot workspace and minimize time and energy, while avoiding...
The goal of motion planning is to find a feasible path that connects two positions and is free from collision with obstacles. Path sets are a robust approach to this problem in the face of real-world complexity and uncertainty. A path set is a collection of feasible paths and their corresponding control sequences. A path-set-based planner navigates by repeatedly testing each of these robot-fixed paths...
This paper presents a multilayer scheme to control a formation of three mobile robots. Each layer works as an independent module, dealing with a specific part of the problem of formation control, thus giving to the system more flexibility. In order to reduce formation errors, the proposed architecture includes a layer which performs an adaptive dynamic compensation, using a robust updating law, which...
Classical motion planners and most of navigation routines discard dynamics of the system and therefore fail in some special conditions. If a robot is moving towards an obstacle with a high acceleration and speed, collision is inevitable because the obstacles are taken into account only either once they are in range, or a physical collision is reported by detection routines. In this paper, we have...
Recently, development of mini-sized humanoid robots with a certain level of intelligence becomes a popular research topic. Because of its small size and light weight, those humanoid robots become more portable and attractive. However, extra difficulties are introduced in hardware selection, mechanical design, motion planning, etc. In this paper, we propose the development of a transformable mini-humanoid...
In this paper, we consider a motion planning problem for a class of constrained nonlinear systems. In each simplex of a triangulation of the set of states, the nonlinear dynamics is conservatively approximated by an affine system subject to disturbances. This results in a hybrid abstraction, called hybridization, of the nonlinear control system. Except for the disturbance, this hybridization can be...
This paper provides proof-of-concept that state-of-the-art sampling-based motion planners that are tightly integrated with a physics-based simulator can compute paths that can be executed by a physical robotic system. Such a goal has been the subject of intensive research during the last few years and reflects the desire of the motion planning community to produce paths that are directly relevant...
A series of kinodynamic sampling-based planners have appeared over the last decade to deal with high dimensional problems for robots with realistic motion constraints. Yet, offline sampling-based planners only work in static and known environments, suffer from unbounded memory requirements and the produced paths tend to contain a lot of unnecessary maneuvers. This paper describes an online replanning...
The stability of the spacecraft attitude is very important to the normal work of solar cells and the communication between the system and earth. Therefore a work mode of free floating space robot (FFSR) with zero-disturbance spacecraft attitude is presented; the dynamic equation of FFSR with zero-disturbance spacecraft attitude is derived based on Lagrange method; the smooth and consecutive joint...
Aim at an autonomous mobile robot dynamics planning, this paper proposes a method to construct the dynamic environment potential field model to realize the autonomous mobile robot dynamics planning, and employ fuzzy neural network to tune potential field parameters to overcome the artificial potential field problems of the local minima. Simulation results show that the proposed method is not only...
We observe the movement of Camponotus japionicus Mary with the use of high speed digital photography and computer assistant analysis. The experiment not only provides biomimetic foundation to multi-legged robotspsila polynomial trajectory planning which is deduced by mathematics, but also gives five conclusions which apply to hexapod bio-robots marching locomotion planning. The first is the fundamental...
This paper presents a new real-time walking pattern generator that calculates center of mass trajectories from footstep locations. Key features are the calculation of reference torque patterns by quadratic programming and the solution of the equations of motion by spline collocation. Fast real-time planning is combined with offline optimisation of free parameters based on a comprehensive simulation...
Biped robots have higher capabilities than other mobile robots, for moving on uneven environments. However, due to natural instability of these robots, their motion planning and control become a more important and challenging task. This article, will present a Cartesian approach for gate planning and control of biped robots without needing to use the joint space trajectories and the inverse kinematics...
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