TRUSSES: Temporarily, Robots Unite to Surmount Sandy Entrapments, then Separate

The aim for this project is to develop methods for teams of robots to jointly overcome environmental hazards on the Moon by attaching to each other to form larger and more stable, maneuverable structures. The robots will use their interactions with the ground to form a map of safe and risky terrain, attach to each other as support when the ground traversal risk is high, move in a coordinated fashion once joined, and, once the maneuver has been successfully completed, separate to continue their original individual missions.

The TRUSSES project will develop algorithms that provide robots with two main capabilities: 1) estimate robot-to-regolith interactions in order to plan safe maneuvers, and 2) plan truss formations and coordinated motions for robots to push and pull each other to safe locations. The system will be evaluated to verify risk estimation, risk avoidance, risk mitigation, and recovery from failure.

Our group primarily develops planning and localization methods for coordinated, risk-aware maneuvers in heterogeneous teams of ground robots operating with a partially known map. This map is built proprioceptively by an exploring quadruped and encodes spatial parameters for a robot-ground interaction model, enabling force prediction. It can also be transformed into a risk map that reflects uncertainty (unexplored regions) and poor terrain (where robots may get stuck). Heterogeneity is advantageous, as each robot interacts differently with the terrain, offering unique capabilities in team operations. This diversity requires high-level planning to assign roles aligned with each robot’s strengths, producing team configurations that support the rescue mission while avoiding high-risk zones. Once a target configuration is defined, robots reposition themselves using a reactive navigation planner and form truss connections. A truss-planner then computes joint motions so the connected network can move collectively to safer areas, where the robots can disconnect and resume individual tasks like exploration or transport.

Related Publications

Characterizing Robot-Ground Interactions for Autonomous Lunar Construction

Holladay, Rachel; Misra, Shivangi; Mitchell, Mason; Panyam, Akshay Ram; Santos, Erica Pauline; Caporale, J. Diego; Liu, Shipeng; Zhang, Yifeng; Ruck, John; Jerolmack, Douglas; Qian, Feifei; Yim, Mark; Sung, Cynthia

Characterizing Robot-Ground Interactions for Autonomous Lunar Construction (Conference)

International Symposium on Experimental Robotics (ISER), 2025.

(Abstract | BibTeX)

TRUSSES - A multi-robot collaborative experimental platform

Panyam, Akshay Ram; Santos, Erica Pauline; Puentes, Andrik; Yang, Mingguang; Mitchell, Mason; Caporale, Juan Diego; Misra, Shivangi; Holladay, Rachel; Sung, Cynthia; Yim, Mark

TRUSSES - A multi-robot collaborative experimental platform (Conference)

International Symposium on Experimental Robotics (ISER), 2025.

(Abstract | BibTeX)

Scout-rover cooperation: Online terrain strength mapping and traversal risk estimation for planetary-analog explorations

Liu, Shipeng; Caporale, J. Diego; Fulcher, Ethan; Hu, Wilson; Cavallo, Natalie; Zhang, Yifeng; Liao, Xingue; Sung, Cynthia; Qian, Feifei

Scout-rover cooperation: Online terrain strength mapping and traversal risk estimation for planetary-analog explorations (Conference)

Lunar and Planetary Science Conference (LPSC), 2025.

(BibTeX)

TRUSSES: Temporarily, Robots Unite to Surmount Sandy Entrapments, then Separate

Jerolmack, Douglas; Koditschek, Daniel; Qian, Feifei; Yim, Mark; Sung, Cynthia

TRUSSES: Temporarily, Robots Unite to Surmount Sandy Entrapments, then Separate (Conference)

Lunar Surface Innovation Consortium Spring Meeting, 2024.

(BibTeX)

Current Personnel

  • Rachel Holladay (MEAM Postdoc)
  • Shivangi Misra (ESE PhD)
  • William Hoganson (ROBO Staff)
  • Lori Brown (CIS Undergrad)
  • Neha Peddinti (CIS Undergrad)
  • Wilson Hu (CIS Undergrad)
  • Benjamin Aziel (MEAM Master's)

Past Personnel

  • Mason Mitchell (CIS Staff)
  • Eric Wang (CIS Undergrad)
  • Jun Kwon (MEAM, CS Undergrad)
  • Paul Young (MEAM Master's)

Collaborators

We gratefully acknowledge this collaboration with Prof. Mark Yim (Modlab, UPenn), Prof. Daniel Koditschek (Kodkab, UPenn), Prof. Douglas Jerolmack (Penn Soft Earth Dynamics Lab, UPenn), and Prof. Feifei Qian (RoboLAND, USC).

Acknowledgments and Funding Sources

The work is supported by Lunar Surface Technology Research grant #80NSSC24K0127 from NASA’s Space Technology Research Grants Program. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of this organization.