#Multi-Agent Systems (2)

GaussLite: Online Task-Conditioned 3D Gaussian Splatting for Real-Time Robotic Mapping

MIT presents GaussLite, the first 3DGS mapping system that takes a natural-language task and allocates representation capacity online by task relevance: a one-shot LLM parser extracts target and anchor objects, Grounding DINO + FastSAM ground them per frame into relevance masks that steer seeding density, gradient flow and initial scale. At matched Gaussian budget and real-time 4 Hz mapping, ROI PSNR improves by +2.72 dB on Replica and +2.23 dB on real campus scenes; multi-agent maps fuse via per-voxel voting on active-optimization counts, beating concatenation by +3.42 dB while sharing only 7.08% of the map.

Thomas, Annika, Peterson, Mason, How, Jonathan P.Jun 29, 2026

3D Gaussian SplattingSLAMRobotic MappingJun 29, 2026

ScientistTwo: Pioneering the Human Knowledge Frontier with Autonomous AI

ScientistTwo from Google Cloud AI Research is a fully autonomous multi-agent research framework: given only a scientific problem, it identifies human-SOTA limitations, formulates hypotheses, implements code, runs subset-to-full experiments, performs ablations, and simulates peer review with rebuttal experiments — delivering publishable papers and reproducible codebases. Across 107 ICLR/ICML/NeurIPS-accepted papers it improves 86 (80.4%) with a 25.2% average gain over human SOTA; papers score 7.5 with 91.9% acceptance under ScholarPeer and 72.1% clear the held-out Stanford Agentic Reviewer (0% for all prior agents).

Nam, Jaehyun, Yoon, Jinsung, Pan, YanzhouSep 17, 2026

Autonomous AgentAI ResearchMulti-Agent SystemsSep 17, 2026