Abstract:Non-holonomic omnidirectional mobile robots have higher load carrying capacity than their holonomic counterparts. Once the steer joint configuration is initialized, they can perform arbitrarily complex three-dimensional trajectories in the plane of motion and, as such, are more suitable for industrial contexts. However, their kinematic model presents representational and structural singularities, solutions to which must respect actuator performance limits. Recent research efforts have provided either simple re… Show more
“…1. proper steering coordination [10,58,61,68], 2. avoidance of kinematic and representational singularities [19,20,21,24,30,60,64,68], 3. fulfillment of steer joint performance limits [11,18,22,50,51,52,53,60,63].…”
Section: Mobilitymentioning
confidence: 99%
“…In a first work [63], we present a numeric treatment of SWMR kinematic singularities and a benchmark test trajectory for evaluating the performance of any SMWR controller with respect to these singularities. We also show that our approach outperforms the embedded controller of the BAZAR base (Neobotix-MPO700) in addressing the singularities.…”
Section: Addressing Kinematic Singularities and Motion Discontinuitiesmentioning
This paper introduces BAZAR, a collaborative robot that integrates the most advanced sensing and actuating devices in a unique system designed for the Industry 4.0. We present BAZAR's three main features, which are all paramount in the factory of the future. These features are: mobility for navigating in dynamic environments, interaction for operating side-by-side with human workers and dual arm manipulation for transporting and assembling bulky objects. Keywords Efficient, flexible and modular production • Robotics • Smart Assembly • Human-robot co-working • Real industrial world case studies • Digital Manufacturing and Assembly System • Machine Learning.
“…1. proper steering coordination [10,58,61,68], 2. avoidance of kinematic and representational singularities [19,20,21,24,30,60,64,68], 3. fulfillment of steer joint performance limits [11,18,22,50,51,52,53,60,63].…”
Section: Mobilitymentioning
confidence: 99%
“…In a first work [63], we present a numeric treatment of SWMR kinematic singularities and a benchmark test trajectory for evaluating the performance of any SMWR controller with respect to these singularities. We also show that our approach outperforms the embedded controller of the BAZAR base (Neobotix-MPO700) in addressing the singularities.…”
Section: Addressing Kinematic Singularities and Motion Discontinuitiesmentioning
This paper introduces BAZAR, a collaborative robot that integrates the most advanced sensing and actuating devices in a unique system designed for the Industry 4.0. We present BAZAR's three main features, which are all paramount in the factory of the future. These features are: mobility for navigating in dynamic environments, interaction for operating side-by-side with human workers and dual arm manipulation for transporting and assembling bulky objects. Keywords Efficient, flexible and modular production • Robotics • Smart Assembly • Human-robot co-working • Real industrial world case studies • Digital Manufacturing and Assembly System • Machine Learning.
“…where d and r w denote the wheel offset and radius respectively. For more details about the framework and the kinematic model, the reader is referred to [23], [24], [29].…”
Section: Steerable Mobile Robot Controllermentioning
In this paper, we address the problem of long travel mobile manipulation for steerable wheeled mobile robots (SWMR) operating in human shared environment. On one hand, a small footprint is required while maintaining a fixed arm configuration, to make robot motion predictable for near individuals during the long traverse. On the other hand, redundancy resolution poses a challenge since there is no direct kinematic mapping between the task and joint spaces for SWMR. Hence, we propose a redundancy resolution algorithm that enables switching between 3 modes of operation based on the Euclidean norm of the motion task error. In particular, we employ a floating base model for the mobile platform, and enhance the end effector motion performance by predicting the error between such model and the actual (SWMR) one. Such error is then compensated using the highly responsive arm manipulator. The proposed methodology is successfully validated in simulations on a Neobotix-MPO700 SWMR with a Kuka LWR-IV manipulator mounted on it.
“…The kinematic model presented in this section (detailed in previous work by the authors [10]) is inspired by the pioneer work of Muir [11], Campion [12], Betourne [13] and Low et al [14]. The schematic of a SWMR is shown in Fig.…”
Section: Kinematic Modelmentioning
confidence: 99%
“…at the ground contact point o ci (expressed in the wheel frame F wi ), with v ti and v ni respectively the i th tangential and normal velocities, it can be shown that [10]:…”
Section: A Cartesian Space 3d Model Formulationmentioning
Steerable wheeled mobile robots (SWMR) are able to perform arbitrary 3D planar trajectories, only after initializing the steer joint vector to the proper values. These robots employ fully steerable conventional wheels. Hence, they have higher load carrying capacity than their holonomic counterparts, and as such are preferable for industrial applications. Industrial setups nowadays are being prepared for the emerging field of human-robot collaboration/cooperation. Such field is highly dynamic, due to fast moving human workers, sharing the operation space. This imposes the need for human safe trajectory generators, that can lead to frequent halts in motion, replanning, and to sudden, discontinuous changes in the position of the robot's instantaneous center of rotation (ICR). Indeed, this requires steer joint reconfiguration to the newly computed trajectory. This issue is almost ignored in the literature, and motivates this work. The authors propose a new ICR-based kinematic controller, that is capable of handling discontinuity in commanded velocity, while respecting the maximum joint performance limit. This is done by formulating a quadratic optimization problem with linear constraints in the 2D ICR space. The controller is also robust against representation and kinematic singularities. It has been tested successfully on the Neobotix-MPO700 industrial mobile robot.
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