TY - GEN
T1 - Design of a Mobile Robot based on Rocker-Bogie Mechanism for Exploration in Mines
AU - Lugo-Figueroa, Alessandro
AU - Baca-Rodriguez, John
AU - Monacelli, Eric
AU - Callupe-Luna, Jhedmar
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Mining exploration requires robots to traverse unstructured environments with uneven terrain, loose soil, and steep inclines, posing substantial challenges to mobility. Although planetary rovers equipped with passive suspension systems such as the Rocker-Bogie have successfully navigated similarly rugged landscapes, conventional mining robots, often relying on tracked or wheeled mechanisms, can be prone to tipping and immobilization when confronted with obstacles and harsh conditions, also suffering mechanical stress and reduced stability due to frequent inclination shifts. Addressing the need to improve robot stability and adaptability in these complex mining terrains, this study investigates an alternative solution. Here we show that incorporating a Rocker-Bogie suspension into a mining robot significantly improves stability, traction, and adaptability, as demonstrated in simulations conducted on Gazebo. The Rocker-Bogie design reduces angular deviations and lateral oscillations compared with a Tracked System, enabling smoother motion over obstacle-laden terrain; it also maintains continuous ground contact and passively distributes weight to mitigate abrupt changes in orientation. These results underscore the potential for adopting Rocker-Bogie mechanisms to enhance safety and efficiency in both underground and open-pit mining. By applying proven concepts from space robotics, we highlight a promising path toward more robust and versatile mining exploration platforms; ultimately, leveraging advanced suspension systems may enable future robots to operate autonomously in even more extreme and hazardous environments, expanding the reach of mining activities and safeguarding human workers.
AB - Mining exploration requires robots to traverse unstructured environments with uneven terrain, loose soil, and steep inclines, posing substantial challenges to mobility. Although planetary rovers equipped with passive suspension systems such as the Rocker-Bogie have successfully navigated similarly rugged landscapes, conventional mining robots, often relying on tracked or wheeled mechanisms, can be prone to tipping and immobilization when confronted with obstacles and harsh conditions, also suffering mechanical stress and reduced stability due to frequent inclination shifts. Addressing the need to improve robot stability and adaptability in these complex mining terrains, this study investigates an alternative solution. Here we show that incorporating a Rocker-Bogie suspension into a mining robot significantly improves stability, traction, and adaptability, as demonstrated in simulations conducted on Gazebo. The Rocker-Bogie design reduces angular deviations and lateral oscillations compared with a Tracked System, enabling smoother motion over obstacle-laden terrain; it also maintains continuous ground contact and passively distributes weight to mitigate abrupt changes in orientation. These results underscore the potential for adopting Rocker-Bogie mechanisms to enhance safety and efficiency in both underground and open-pit mining. By applying proven concepts from space robotics, we highlight a promising path toward more robust and versatile mining exploration platforms; ultimately, leveraging advanced suspension systems may enable future robots to operate autonomously in even more extreme and hazardous environments, expanding the reach of mining activities and safeguarding human workers.
UR - https://www.scopus.com/pages/publications/105015877012
U2 - 10.1109/ARSO64737.2025.11124946
DO - 10.1109/ARSO64737.2025.11124946
M3 - Conference contribution
AN - SCOPUS:105015877012
T3 - Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO
SP - 374
EP - 379
BT - 2025 IEEE International Conference on Advanced Robotics and its Social Impacts, ARSO 2025
PB - IEEE Computer Society
T2 - 2025 IEEE International Conference on Advanced Robotics and its Social Impacts, ARSO 2025
Y2 - 17 July 2025 through 19 July 2025
ER -