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Jmesim: an Open Source, Multi Platform Robotics Simulator

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Jmesim: an Open Source, Multi Platform Robotics Simulator Proceedings of Australasian Conference on Robotics and Automation, 3-5 Dec 2012, Victoria University of Wellington, New Zealand. jmeSim: An Open Source, Multi Platform Robotics Simulator Adam Haber, Matthew McGill, Claude Sammut ARC Centre of Excellence in Autonomous Systems School of Computer Science and Engineering, UNSW Sydney, NSW, 2052, Australia. fadamh,mmcgill,[email protected] Abstract of simulation for robotics is the ability to run hundreds or thousands of trials for the purposes of learning robot Simulation of autonomous and teleoperated control algorithms. This process is crucial to the de- robots has become a staple of the robotics re- velopment of complex articulated, particularly legged, search community. Accurate physics simula- robots, as hand coding control algorithms is extremely tion, high quality rendering, open source code, difficult in this case. Indeed, policies learned from trials and multi platform implementability are essen- in simulation are often applied to control physical robots, tial qualities for simulation packages. Many as long as the simulation has sufficient fidelity that the simulation environments exist, each with a policy is transferable. Robot simulation software has im- range of advantages and disadvantages, that proved to the point where high fidelity simulation of a address the above features to different degrees, large variety of sensors, complex robots, and rich envi- but none achieves them all. Recently, the ronments is now possible. This has allowed the use of Robot Operating System (ROS) [Quigley et simulation to pervade all types of robotic research. al., 2009] has provided researchers with a stan- dardised platform for robotics research, and Robot software packages have tended to be customised has been widely adopted. This paper presents and fine tuned to their particular niche. Recently, how- jmeSim, an open source, multi-platform robotic ever, the free and open source Robot Operating System simulation package, which provides excellent (ROS) [Quigley et al., 2009] has become widely adopted, graphical and physical fidelity, and provides and is slowly bringing the beginnings of standardisa- tight integration with ROS. The simulation en- tion to the robotics research community [Cousins, 2010; vironment is described in detail, and several Kamei et al., 2012]. Integration with the ROS framework demonstrations of its capabilities are presented. allows access to a large codebase of robotic software for perception, most notably the Point Cloud Library (PCL) [Rusu and Cousins, 2011], or navigation, reasoning, and 1 Introduction any conceivable aspect of robotics. In light of this, it is Computer simulation has proven itself to be an invalu- desirable for robotic simulators to integrate with ROS to able tool in robotics research, particularly for mobile au- provide access to this software. The simulation package [ ] tonomous robots, for several reasons. Firstly, robots are Gazebo Koenig and Howard, 2004 , is distributed with fragile, potentially dangerous, and notoriously difficult ROS, however, this package is currently limited to the to test and develop due to their inherent complexity. Linux operating system. The ability to test and develop much of the control soft- An ideal simulation package would not only be easily ware in simulation can mitigate the risks and costs of integrated into the ROS framework, but would in addi- hardware failure. A second drawback to developing soft- tion, be multi platform, high fidelity in terms of graphics ware on robots themselves is that in most cases, robots and physics rendering, and open source. High graphical come from offsite, at large expense. Simulation allows fidelity in a robot simulation is not merely a matter of software to be developed and tested by researchers who aesthetics. In robot simulation, the sensory input to either do not have access to, or are waiting on delivery the robots perceptual algorithms comes from whichever of robots. An additional attraction of simulation is the virtual sensors are provided by the simulation. For ex- ability to test robotic software in situations that are not ample, virtual cameras use the rendering engine of the feasible to create in reality, such as disaster scenarios, simulator to provide their images. If the simulated cam- fires and the like. Finally, a truly invaluable advantage era image bears little resemblance to a real camera feed, Proceedings of Australasian Conference on Robotics and Automation, 3-5 Dec 2012, Victoria University of Wellington, New Zealand. robotic vision algorithms cannot be tested in the sim- the multithreading or hardware acceleration capabilities ulation framework, rendering it incomplete. Similarly, of newer engines such as PhysX in USARSim, or Bullet high fidelity physics is essential, particularly in machine [Coumans, 2012]. Thus physics performance in Gazebo learning applications, where the robot refines a policy can be somewhat slower, or less accurate than newer that based on the response of the simulated world to its engines. Gazebo uses the open source OGRE render- actions. If the physics is not sufficiently realistic, there is ing engine, which produces very good graphics fidelity. little chance of transferring such a policy to a real robot. Although Gazebo is packaged with ROS, which is multi- Below, we review the attributes of several of the more platform, as mentioned above, Gazebo is currently Linux popular simulation packages, and conclude that none of only, limiting its utility for Mac or Windows users. the currently available environments meet all of these key criteria. We then describe the development of a new 2.3 Webots simulation engine, jmeSim, which meets the four require- Webots is a commercial robot simulation package that is ments we have enumerated above: it is integrated with perhaps the most developed and fully featured of those ROS, multi platform, high quality, and open source. surveyed here [Michel, 1998]. Like Gazebo, it is built on ODE physics, although its excellent rendering capa- 2 Related Work bilities are more impressive. It includes fully functional, high fidelity models of 15 different robotic platforms, a In this section, current simulation packages are eval- large library of indoor and outdoor objects, and can ac- uated in terms of their performance in the areas de- cept robot control code written in many different lan- scribed above: the accuracy and quality of their graph- guages. Webots is cross platform, installable on Win- ics, physics simulation fidelity, quality of integration with dows, Mac and Linux operating systems, includes a in- ROS or competing robot software architectures, cus- terface to ROS, and a particular strength is its scalability tomisability, complement of robot or environment mod- to large numbers of mobile robots. A software license for els, open source code, and multi platform capabilities. the full featured version of Webots currently retails for Our review of these simulators is summarised in Table US$2300, rendering it prohibitively expensive for many 1. researchers. Further, being commercially licensed means 2.1 USARSim that reproducing results developed in Webots is impos- sible for those who have not purchased a license, and USARSim is an open source, high fidelity robot simula- limits the customisability of the software itself. tion package originally based on the Unreal Game En- Although the existing selection of robotic simulation gine 2.0, a commercially available game engine, although tools, some of which are reviewed in the previous section, it has since migrated to version 3.0. Unreal 3.0 produces have many impressive capabilities, there is not yet a truly state of the art graphics rendering, and the NVIDIA multi platform, open source alternative which provides PhysX physics simulation engine, which uses hardware the high fidelity simulation, and tight integration with acceleration. Thus, the graphics and physics fidelity is ROS that is required in many applications. In order excellent in USARSim. There is also an open source to address this need, we have developed jmeSim, which module for integration with ROS, which has recently unlike any of the currently available simulation packages, been developed [Balakirsky and Kootbally, 2012]. A fur- meets all the requirements. ther advantage of USARSim is that is it currently the simulation engine used for the RoboCup Rescue Virtual Robot Competition [Bastiaan, 2010]. The main draw- 3 jmeSim backs of USARSim are the fact that the Unreal game Like several other robot simulators, jmeSim is built on engine is commercially licensed, so users must purchase top of a game engine, specifically, the open source jMon- a copy of the game engine to use the simulation package, keyEngine3 Game Engine [Vainer, 2012]. Since both and the lowest levels of the simulation are opaque to the jMonkeyEngine3 and jmeSim are written in pure Java, user. jmeSim is architecture neutral: it can run on any oper- ating system. 2.2 Gazebo The jMonkeyEngine3 engine uses OpenGL for render- Gazebo is an open source robotic simulation package ing, incorporating very high performance rendering abil- [Koenig and Howard, 2004], which was developed as ities: shaders and per-pixel lighting, and an array of part of the well-known Player/Stage suite [Gerkey et al., post-processing filters, which make for excellent graph- 2003], although it has since become tightly integrated ical performance at real time frame rates on desktop with ROS. The Gazebo simulator is built on top of the machines. Qualitatively
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