About this Abstract |
| Meeting |
2026 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2026)
|
| Symposium
|
2026 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2026)
|
| Presentation Title |
Physical AI++: A Multi-Agent Spatiotemporal Control Framework for Adaptive Solid Freeform Fabrication |
| Author(s) |
Bharat Dwivedi, Arun Skanda Rebbapragada, Indira Dwivedi, Arka Rebbapragada , Jeyakesavan Veerasamy |
| On-Site Speaker (Planned) |
Bharat Dwivedi |
| Abstract Scope |
Physical AI enabled closed-loop manufacturing systems integrate sensor fusion and process-planning. However this approach is largely geometric-centric, single agent in nature limiting the ability to control material evolution spatially and transiently.
We present a novel concept Physical AI++, that uses mulit-agent frameform for Solid Freeform Fabrication to enable spatiotemporal control of material state, including temperature, structural continuity, and process dynamics as first class variables. The framework will coordinate multiple robotic agents to perform complementary roles including additive, subtractive processes, energy modulation, structural constraints and microstructural evolution. This cooperative material engagement will use multiple agents to manipulate shared material system enabling fabrication beyond layer-based paradigms. While we describe entire framework, we will demonstrate it in limited capacity through a case study. We will demonstrate material weaving through constrained conduits, analogous to cable routing in infrastructure development. We will show how continuity is sustained across complex regions.
|
| Proceedings Inclusion? |
Undecided |