Difference between revisions of "JPL Robotics Meeting Notes"
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* integrate sensors for comprehensive environmental data. | * integrate sensors for comprehensive environmental data. | ||
* using ground-penetrating radar (GPR). | * using ground-penetrating radar (GPR). | ||
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+ | === 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 |
Revision as of 20:14, 20 May 2024
User:vrtnis' notes from meeting with JPL robotics head of robotics team (EELS and Rover)
Contents
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.
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.
- utilize LIDAR
- optimal path planning,.
- integrate real-time obstacle detection