17 Agentic AI & Robotics
How can goals become autonomous sequences of meaningful action?
Area 17: Agentic AI & Robotics
Master Question
How can goals become autonomous sequences of meaningful action?
What We Want to Discover
Turning a high level goal into a coherent sequence of concrete actions requires planning, tool use, monitoring, and the ability to revise a plan when reality departs from expectation. This area studies how agentic systems, including language model based agents connected to robotic actuators, should structure that process, and where the gap between symbolic planning and physical execution actually breaks.
Why It Matters
Interest in agentic systems is currently high, but many demonstrations remain brittle outside narrow, curated settings. Understanding what actually makes a goal directed sequence of actions robust is a precondition for taking these systems from demonstrations to dependable tools.
Core Concepts
- Task decomposition and planning
- Tool use and function calling
- Plan monitoring and replanning
- Grounding symbolic plans in physical action
- Long horizon autonomy
Relevant Disciplines
- Classical AI planning
- Cognitive science of goal directed behaviour
- Software engineering
Potential Mimicry Sources
- Human project planning and replanning under obstacles
- Hierarchical task execution in skilled professionals
- Improvisation when a plan fails mid execution
Projects
No projects yet.
Active Questions
No projects yet, so there are no active derived questions to report.
Key Findings Across Projects
Pending. No projects in this area have produced findings yet.
Unresolved Questions
Pending.
Connections to Other Areas
Pending. Connections will be identified as projects in this area develop.