JPL Robotics Meeting Notes

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Revision as of 20:14, 20 May 2024 by Vrtnis (talk | contribs) (Energy management and path planning)
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User:vrtnis' notes from meeting with JPL robotics head of robotics team (EELS and Rover)

Mars rover autonomy

  • combine approximate kinematic settling with a dual-cost path planner to navigate safely in unstructured environments.
  • develop multi-agent capabilities to significantly enhance performance and safety of autonomous operations on Mars.
  • engineer the autonomy system to efficiently handle Mars' unpredictable terrain, improving mission success rates.
  • incorporate mechanisms for self-diagnosis and repair to ensure long-term functionality with minimal Earth-based support.
Summary

Risk-aware planning

  • utilize Boole's inequality for risk allocation.
  • enhancing decision-making under uncertainty.
  • employ predictive analytics to anticipate and mitigate potential risks.
  • allowing for dynamic re-planning and risk management.

Advanced sensor integration

  • high-resolution cameras and spectrometers.
  • integrate sensors for comprehensive environmental data.
  • using ground-penetrating radar (GPR).


Energy

  • optimize energy consumption.
  • utilize a combination of solar panels.
  • gather power from the environment, such as thermal gradients and mechanical movements.

Navigation and mapping

  • utilize LIDAR
  • optimal path planning,.
  • integrate real-time obstacle detection