Understand the shared environment.
Represent the conditions and interactions that matter to each agent.
AUTONOMY / MAHCA
Individual agents.
Shared understanding.
Autonomous systems must do more than react individually. MAHCA explores world models for agents that perceive changing environments, anticipate interactions, and coordinate their actions.
WORLD-MODEL DEVELOPMENT
AUTONOMY / A SYSTEM IN MOTION
Explore an agent’s local view of the surrounding environment.
Local decisions. Collective behavior.DISCOVER THE DIRECTION
Anticipate the effect of an action.
Explore possible consequences before selecting a path.
Coordinate through change.
Investigate how local decisions contribute to a shared objective.
01 / FOCUSED POSSIBILITIES
Intelligence at the edge.
Coordination across the system.
Autonomy becomes a different problem when agents share a world. The research focus is how they represent that world, account for one another, and respond as conditions change.
COORDINATED DRONES
Explore the relationship between agent and team.
Study coordination questions for multiple drones operating toward a shared objective.
THE RESEARCH QUESTION
How can an agent’s local view inform collective behavior?
Connect individual decisions with the wider task.
CHANGING ENVIRONMENTS
Account for a world that moves.
Explore how routes and interactions could change when obstacles or operating conditions shift.
THE RESEARCH QUESTION
How should a change in the environment reshape the plan?
Evaluate responses to change in a simulation setting.
SHARED TASKS
Investigate coordination under uncertainty.
Examine how task choices, agent interactions, and incomplete observations affect a group’s behavior.
THE RESEARCH QUESTION
What information is needed to coordinate the next action?
Define coordination questions that can be tested.
02 / THE FOUNDATION
A model of the world.
A basis for the next action.
MAHCA is Excite’s coordinated autonomy world-model program. Its development explores the connection between local awareness, intelligent control, and collective behavior.
Explore our world models01
Adaptive agents
Study responses to changing local conditions.
02
Predictive control
Explore how actions influence possible futures.
03
Distributed coordination
Investigate interactions across a group of agents.
03 / A CLOSER LOOK
Good questions.
Clear answers.
What is MAHCA?
MAHCA is Excite’s world-model development program for coordinated autonomy and interacting agents.
How is Excite bringing autonomous systems into the real world?
We are working with partners to deploy our autonomous systems in real-world environments. Powered by MAHCA, these systems combine coordinated decision-making with adaptive control for autonomous platforms.
How does this connect to Excite Quantum?
Autonomy focuses on coordination and decision-making. Excite Quantum explores physical signals and sensing: how the world becomes observations that can inform a model.
THE NEXT FRONTIER IS A SHARED ONE.
Build toward
coordinated intelligence.
Connect with Excite around autonomous systems, simulation, and research collaboration.
Discuss Autonomous SystemsContinue on excite.io to connect.