Scientific Co-operative Rover with Artificial Intelligence for Futuristic Scientific Experiments on Moon
- Notion Robotics Lab, New Delhi, India, sandya.rao@notionrobotics.com
With recent scientific experiments carried out and results have shown an immense studies in
operation in the complex lunar environment and exploiting the moon base as a scientific platform
for both research and major challenges in exploration. Notion Robotics Lab proposes a highly
advanced lunar lander to prepare future missions on moon. The scientific areas for investigation
on the lunar lander include the radiation environmental and its effect, dust, plasma, the most
important being the properties of moon dust and its effect on human intervention. Notion
Robotics Lab will propose a payload which interfaces the information and the boundary
conditions. This paper discusses the scientific objectives for the futuristic mission which
emphasizes human robot exploration and builds a prototype scientific payload to be part of the
mission and also design of scientific instruments.
Notion Robotics Lab has developed the sophisticated autonomous co-operative rovers with
multiple intelligence systems to study life on lunar base and capable of handling multiple
decisions without human interference. This rover will be built as per the map of the terrains in
the lunar base thus operating different tasks. With advancement of different payloads and
scientific instruments the rover may able to map the large tracts of the surface thus do complex
tasks and experiments. Notion Robotics Lab plans to execute with the partnership with
Universities and Space Agencies thus proposing broader experiments in futuristic lunar mission.
Keywords:- Autonomous Co-operative Rover, Artificial Intelligence, Scientific Instruments,
Understanding Life, Lunar Lander
How to cite: Rao, S. and Chowdhury, S.: Scientific Co-operative Rover with Artificial Intelligence for Futuristic Scientific Experiments on Moon, Europlanet Science Congress 2020, online, 21 September–9 Oct 2020, EPSC2020-1124, https://doi.org/10.5194/epsc2020-1124, 2020