Energy Consumption of Control Schemes for the Pioneer 3DX Mobile Robot: Models and Evaluation

Energy is a key feature that must be explicitly managed for long-term autonomous robotic missions. Many research studies have addressed the energy issue, developed energy-aware motion control or integrated energy in mission objectives. However, few studies have comprehensively assessed the impact of software and hardware choices on power consumption of robots. Based on experimental analysis and according to the selected control scheme and hardware configuration, this paper proposes energy consumption models for the Pioneer 3DX. The proposed models highlight the existence of an optimal velocity that minimizes motion energy. These models are experimentally evaluated and discussed.

[1]  Lionel Lapierre,et al.  Toward Performance Guarantee for Autonomous Mobile Robotic Mission: An Approach for Hardware and Software Resources Management , 2016, TAROS.

[2]  Bin Wang,et al.  Staying-alive path planning with energy optimization for mobile robots , 2012, Expert Syst. Appl..

[3]  Minjoong Kim,et al.  A Simple Model for Estimating Power Consumption of a Multicore Server System , 2014, MUE 2014.

[4]  Pratap Tokekar,et al.  Energy-optimal trajectory planning for car-like robots , 2014, Auton. Robots.

[5]  Byung Kook Kim,et al.  Minimum-Energy Motion Planning for Differential-Driven Wheeled Mobile Robots , 2008 .

[6]  A. Galip Ulsoy,et al.  Mission Energy Prediction for Unmanned Ground Vehicles Using Real‐time Measurements and Prior Knowledge , 2013, J. Field Robotics.

[7]  Ruth Aylett,et al.  Socially constrained management of power resources for social mobile robots , 2012, 2012 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[8]  Luca Benini,et al.  A survey of design techniques for system-level dynamic power management , 2000, IEEE Trans. Very Large Scale Integr. Syst..

[9]  Manish Gupta,et al.  Power-Aware Microarchitecture: Design and Modeling Challenges for Next-Generation Microprocessors , 2000, IEEE Micro.

[10]  Lionel Lapierre,et al.  A guaranteed obstacle avoidance guidance system , 2012, Auton. Robots.

[11]  Lionel Lapierre,et al.  A Step Toward Mobile Robots Autonomy: Energy Estimation Models , 2016, TAROS.

[12]  Jianghai Hu,et al.  Optimal solutions to a class of power management problems in mobile robots , 2009, Autom..