Asian Surveying & Mapping
Breaking News
Saudi: GEOSA and RIPC sign deal to enhance the role of Geospatial Data in infrastructure projects
Riyadh: The General Authority for Survey and Geospatial Information...
World’s largest solar project will send Australian energy to Singapore
In August, Australia’s environment minister Tanya Plibersek approved the...
India’s Drone Market to Skyrocket with 44.2% CAGR by 2029, Driven by Aatmanirbhar Bharat Initiative
India is witnessing a technological revolution because it is...
China unveils lunar spacesuit for crewed moon mission
HELSINKI — China’s human spaceflight agency has revealed the...
China launches first reusable satellite, with payloads from Thailand and Pakistan
China on Friday successfully launched its first reusable satellite...
Chandrayaan-3 landed on possibly oldest craters of Moon, say researchers
India's lunar mission Chandrayaan-3 possibly landed in one of...
China sets historic Mars mission for 2028 as US plan remains in limbo
China is on track to launch its Tianwen-3 mission...
GNSS: Here’s how India’s new GPS-based toll system will change your highway travel
The Ministry of Road Transport and Highways has revised...
Shanghai Is Hit by Strongest Typhoon in Decades and Comes to a Standstill
Typhoon Bebinca, the strongest storm to hit Shanghai since...
Iran launches research satellite into orbit
TEHRAN: Iran on Saturday blasted a new research satellite...

February 16th, 2021
Orbit Logic tackles autonomous lunar exploration with robotic swarms

Orbit Logic has been awarded a Phase I Small Business Technology Transfer (STTR) contract sponsored by NASA to develop the Intelligent Navigation, Planning, and Awareness for Swarm Systems (IN-PASS) solution – an autonomous planning architecture supporting collaborative Lunar exploration with teams of humans cooperating with heterogeneous swarms of orbital (satellite) and surface (rover) assets. IN-PASS is being developed in partnership with the University of Colorado Boulder (CU).

 

IN-PASS Example Mission Concept with Autonomous Swarm and an Astronaut-in-the-Loop

Orbit Logic’s existing Autonomous Planning System (APS) is the foundation of the IN-PASS architecture. An instance of APS will operate onboard each swarm asset to provide asset level resource planning and independence as well as to enable autonomous cooperation between assets over intermittently available communication links. Under this effort, Orbit Logic will develop the human-robot teaming in APS so that astronauts or mission operators can interact as “humans-on-the-loop” with IN-PASS to provide guidance, shape mission objectives, and directly participate by handling tasks that are uniquely suited to human dexterity or cognition. The net result will be that humans will be able to leverage the full capabilities of a heterogeneous robotic swarm without micromanaging the actions of each individual asset.

 

CU’s Event-Triggered Decentralized Data Fusion (ET-DDF) algorithm will maintain a common relevant operations picture (CROP) with minimal data exchange. Specialized communication models will be developed to simulate this data exchange accurately. Finally, Linear Temporal Logic (LTL) will be used for task specification and multi-objective control policies will be designed to tradeoff navigation performance and resource use onboard rovers. In addition, CU’s ASPEN lab will provide an environment for mixed-mode hardware testing with real wheeled robots.

 

APS is a powerful technology that can be leveraged for autonomous planning in any domain. The breadth of its applications proves its flexibility; beyond robotic Lunar exploration, Orbit Logic has utilized APS for the autonomous operation of heterogeneous constellations of Low Earth Orbit (LEO) satellites with DARPA and AFRL, heterogeneous swarms of unmanned underwater/surface/aerial vehicles (UUVs/USVs/UAVs) with the Navy, and heterogeneous swarms of rovers, satellites, and atmospheric vehicles for robotic Mars exploration with NASA