AI Agent Papers2026
Helps general coding agents turn 3D perception readings into spatial conclusions using persistent scene memory and plain-language interpretation. It improves open- and closed-model results on MMSI-Bench and ReVSI.
Helps general coding agents turn 3D perception readings into spatial conclusions using persistent scene memory and plain-language interpretation. It improves open- and closed-model results on MMSI-Bench and ReVSI.