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MaxxBench – 89 DeepSWE tasks with small changes, models 23 pp apart

, 6 items in AI and Robotics Applications, 3 min read

In this digest (6 items)

MaxxBench introduces 89 DeepSWE tasks with minor instruction or code changes. Models clustered around 74% on DeepSWE show a 23 pp spread.

Key points

  • 89 DeepSWE tasks with small changes to instructions or starting code.

  • Models clustered around 74% on DeepSWE end up 23 pp apart.

Sources

DefFlow – goal-conditioned 3D world action modelling announced

DefFlow is a goal-conditioned 3D World Action Modelling approach that learns to manipulate deformable objects into diverse goal shapes using 3D point flows. It targets ropes, granular objects, and cloth for precise 3D shape control.

Key points

  • DefFlow: goal-conditioned 3D World Action Modelling approach

  • Learns to manipulate deformable objects into diverse goal shapes using 3D point flows

Sources

Agensi – Skill Marketplace for AI Agents Launches with 18,000+ Skills

Agensi is a skill marketplace that lets AI agents load expert-built capabilities on demand, adding over 18,000 new skills instantly. The platform offers free and paid options and integrates with agents via a single connector line. Engineers can purchase or sell skills, with a 70/30 revenue split and a flat 30% platform fee.

Key points

  • 18,000+ new skills available instantly for AI agents.

  • Revenue split is 70% to creators, with a flat 30% platform fee on each sale.

Sources

CLARA clarification framework for robotics announced

CLARA clarification framework for robotics announced, a cognitively-driven system that asks users clarifying questions to ground ambiguous requests. It refines vague directives into structured instructions and generates visual renderings with a diffusion pipeline.

Key points

  • Name: Conversational cLArification for Robotic Arrangement (CLARA)

  • Work conducted in early 2025

Sources

RAX scaling online exploration at CoRL2026 poster 119

RAX is an agentic robotics system that learns by scaling online exploration. It will be presented as a Late-Breaking Result poster at CoRL2026 on Nov 9, 12–1:30 PM CT, poster #119 in Griffin Hall, JW Marriott Austin.

Key points

  • Presentation: Late-Breaking Result “Scaling Online Exploration for Robot Agents” at CoRL2026, Mon Nov 9, 12–1:30 PM CT, poster #119.

  • System: RAX is an agentic robotics system that learns by scaling online exploration.

Sources

ORA Open Robot-Use Agents presented at CoRL2026

ORA: Open Robot-Use Agents will be presented at the CoRL2026 Late-Breaking Results session on Nov 9, 12–1:30 PM CT, Poster #130. It runs on DeepSeek 4.1-Flash and can zero-shot control robots from visual input.

Key points

  • Presentation: CoRL2026 Late-Breaking Results, Mon Nov 9, 12–1:30 PM CT, Poster #130, Griffin Hall.

  • Model: powered by DeepSeek 4.1-Flash, zero-shot robot control from visual input, no VLA.

Sources