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4.3 Recommendations
In this task, the robot moves smoothly and is able to transmit and receive the
messenger. For future work, we would suggest that the constraint for the MR1 to use RF
signal should be removed. To transmit the messenger, the RF signal is more efficient
compared to the Bluetooth signal because Bluetooth signal is not stable in a congested area.
For the next project, a longer time frame is needed in order to operate effectively the
messenger robot and to ensure that its movement is smooth and stable. It would be
interesting to try to stabilize the wheel movement by using mini cylinder air tank. With some
pneumatic touch, the gripper will be smoother when in throwing mode. For future work, it
would be to better to consider the reachable set, perhaps by incorporating knowledge about
the nearby terrain. Lastly, the proposed motion planning approach can be generalized, and
applied to a variety of other systems. In the future, we should try similar planning algorithm
on a dynamic biped to achieve walking distance over rough terrain.
5.0 ACKNOWLEDGMENTS
This work is fully supported with fund provided by Polytechnic Port Dickson
funding. The authors would also like to thank Mr. Saiful Azmi Bin Hamzah from Astana
Digital Sdn. Bhd our industrial advisor who supplies the components and robotic items
needed to complete the project.
References
[1]A.M. Petrina, 2011, Advances in robotics. Automatic Documentation and
Mathematical Linguistics, 45(2): 43-57.
[2] A. Araujo, D. Portugal, M.S. Couceiro and R.P. Rocha, 2015. Integrating Arduino-
Based Educational Mobile Robots in ROS, J Intell Robot Syst 77:281–298.
[3] O.B. Manolov, 2015. Remote Control of Educational Mobile Mini-Robot via Wireless
Communication, Advances in Robotics & Automation, 4: 128.
[4] Rulebook guideline ROBOCON, January 2019. http://abuROBOCON2019.mnb.mn/en
[5] A.Shkolnik, M.Levashov, Ian R, 2010, Bounding on Rough Terrain with the LittleDog
Robot. The International Journal of Robotics Research published online 7 December.
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