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 to navigate safely in unstructured environments.
+
* combine approximate kinematic settling with a dual-cost path planner.
* develop multi-agent capabilities to significantly enhance performance and safety of autonomous operations on Mars.
+
* develop multi-agent capabilities to significantly enhance performance - safety of autonomous operations on Mars.
* engineer the autonomy system to efficiently handle Mars' unpredictable terrain, improving mission success rates.
+
* 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.
  
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* employ predictive analytics to anticipate and mitigate potential risks.
 
* employ predictive analytics to anticipate and mitigate potential risks.
 
* allowing for dynamic re-planning and risk management.
 
* allowing for dynamic re-planning and risk management.
 +
[[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 management lessons learned ===
 +
* 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

Latest revision as of 22:50, 20 May 2024

User:vrtnis' notes from meeting with JPL robotics head of robotics team (EELS and Rover)

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.
Summary

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.
Screenshot13-16-39.png

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.

Navigation and mapping[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