Difference between revisions of "JPL Robotics Meeting Notes"

From Humanoid Robots Wiki
Jump to: navigation, search
 
(One intermediate revision by the same user not shown)
Line 4: Line 4:
 
=== 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 and safety of autonomous operations on Mars.
+
* 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.
+
* 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

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