Difference between revisions of "JPL Robotics Meeting Notes"
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=== Mars rover autonomy === | === Mars rover autonomy === | ||
| − | * combine approximate kinematic settling with a dual-cost path planner | + | * combine approximate kinematic settling with a dual-cost path planner. |
| − | * develop multi-agent capabilities to significantly enhance performance | + | * develop multi-agent capabilities to significantly enhance performance - safety of autonomous operations on Mars. |
| − | * | + | * 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. | * incorporate mechanisms for self-diagnosis and repair to ensure long-term functionality with minimal Earth-based support. | ||
| Line 16: | Line 16: | ||
* allowing for dynamic re-planning and risk management. | * allowing for dynamic re-planning and risk management. | ||
[[File:Screenshot13-16-39.png|400px|thumb|none]] | [[File:Screenshot13-16-39.png|400px|thumb|none]] | ||
| + | |||
=== Advanced sensor integration === | === Advanced sensor integration === | ||
| − | * high-resolution cameras and spectrometers | + | * high-resolution cameras and spectrometers |
* integrate sensors for comprehensive environmental data. | * integrate sensors for comprehensive environmental data. | ||
* using ground-penetrating radar (GPR). | * using ground-penetrating radar (GPR). | ||
| + | |||
| + | === Humanoids === | ||
| + | * for space exploration, utilizing human-like structure | ||
| + | * tasks requiring precise human-like movements. | ||
| + | * deploy humanoids for maintenance, repair enhancing astronaut safety. | ||
| + | * use in sample gathering/ environmental monitoring. | ||
| + | * simulate operations in space-like environments. | ||
| + | |||
=== Energy === | === Energy === | ||
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=== Navigation and mapping === | === Navigation and mapping === | ||
* utilize LIDAR | * utilize LIDAR | ||
| − | * optimal path planning | + | * optimal path planning |
* integrate real-time obstacle detection | * integrate real-time obstacle detection | ||
| − | === Project | + | === Project management lessons learned === |
* manage complex robotics projects like eels and Mars rovers by coordinating multiple teams | * manage complex robotics projects like eels and Mars rovers by coordinating multiple teams | ||
* advantage of having all team members colocated in the same building at the project's inception. | * advantage of having all team members colocated in the same building at the project's inception. | ||
Latest revision as of 22:50, 20 May 2024
User:vrtnis' notes from meeting with JPL robotics head of robotics team (EELS and Rover)
Contents
Mars rover autonomy[edit]
- combine approximate kinematic settling with a dual-cost path planner.
- develop multi-agent capabilities to significantly enhance performance - safety of autonomous operations on Mars.
- 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[edit]
- 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[edit]
- high-resolution cameras and spectrometers
- integrate sensors for comprehensive environmental data.
- using ground-penetrating radar (GPR).
Humanoids[edit]
- for space exploration, utilizing human-like structure
- tasks requiring precise human-like movements.
- deploy humanoids for maintenance, repair enhancing astronaut safety.
- use in sample gathering/ environmental monitoring.
- simulate operations in space-like environments.
Energy[edit]
- optimize energy consumption.
- utilize a combination of solar panels.
- gather power from the environment, such as thermal gradients and mechanical movements.
[edit]
- utilize LIDAR
- optimal path planning
- integrate real-time obstacle detection
Project management lessons learned[edit]
- manage complex robotics projects like eels and Mars rovers by coordinating multiple teams
- advantage of having all team members colocated in the same building at the project's inception.
- more integrated workflows through initial colocation
- ensure alignment on project goals and timelines.
- early stages of complex projects benefit greatly from in-person collaboration. establish a strong foundation through colocation to enhance subsequent remote coordination efforts
