CoRL 2026 Oral 🌟 A team led by Peking University introduced OpenDexGrasp. It takes free-form language instructions, multi-view images, and 3D point clouds as input. Then it directly generates a dexterous five-finger grasp pose. For example, grip a hammer by its handle, not its head. To train the model, the team built OpenDexVerse: • OpenDex-Scale: 1.24M automatically generated grasp samples. • OpenDex-Align: 27.42K human-teleoperated and transferred grasp samples. The results: In simulation: 62.96% functional grasp success on unseen object categories. The DexGraspNet 2.0 baseline scored 43.22%. On a real robot, it achieved a 72% success rate across 10 everyday objects, including brushes, shampoo bottles, umbrellas, and pitchers. The baseline scored 59%. It's also faster. Traditional methods predict the graspable area first, then optimize the hand pose. OpenDexGrasp generates the grasp pose directly. Traditional pipeline: 2.84 s OpenDexGrasp: 0.93 s 67% less inference time. It's not perfect, though. Thin or complex objects like keyboards, frisbees, and flower pots can still cause problems, including finger penetration and inaccurate grasp placement.

Ant Group just open-sourced LingBot-Touch, a tactile foundation model for robots. Cross-sensor transfer, even to sensors unseen during pretraining. Nearly 5k hours of real-world tactile data. Tested on 26 tasks, 2 robotic hands, and 4 action policies. Average success rate: +14 to 26 percentage points over no touch. Bottle-cap twisting: 56.25% with no touch. 62.5% with raw tactile input. 90% with LingBot-Touch features. Two sizes: Tiny & Small Apache 2.0. Weights now available.

⚡️Alibaba just launched QwenWork 2.0 Teams can now work alongside AI agents in a shared workspace. • Team Collaboration: Bring a digital employee into team workflows. It can connect multiple DingTalk chats, docs, AI spreadsheets, and meeting notes, while handling parallel sessions and assigned tasks. • Automated Tasks: Set event-based triggers for messages from specific people, @ mentions in selected groups, and approval requests. The agent acts automatically when conditions are met. • Human-AI Co-Creation: Review content and leave feedback directly in chat. AI can apply multiple edits to the original document, spreadsheet, slide, or app. • Resource Space: Collect AI-generated and uploaded files in one place, with support for browsing, searching, and sharing.

ByteDance just launched Seedream 5.5🚀 Outperforming GPT Image 2.5 Sunburst & Nano Banana 2.1 in both text rendering fidelity and visual realism. What's new: • Supports continued work on the same image across 100 rounds of editing. • Native transparent/translucent background export (Alpha channel) • Doubled usability for cinematic and office use cases vs. 5.0 Pro Seedream 5.5 is gradually rolling out across Dreamina, Doubao, Doubao Work, and Volcano Engine Ark.

A Yale CS PhD candidate has open-sourced the Python scripts behind figures in his top-conference papers. 10.3K stars, 715 forks. It's called Figures for Papers, created by Chen Liu, whose work has appeared in Nature Machine Intelligence, ICML, NeurIPS, and ECCV. That means you can learn from real publication-quality examples, including their color palettes, typography, legends, and layouts. It covers everything from bar charts and composition breakdowns to 3D spheres, radar plots, line charts, concept diagrams, and trend plots. License: CC BY-NC 4.0, not MIT.

A team from Zhejiang University and vivo has introduced FlashRelight, an AI system that can relight portrait videos. It's more than just applying a filter. The goal is to change the lighting while preserving a person's identity, expression, and motion. FlashRelight takes a two-stage approach: First, a delighting model suppresses the original lighting and shadows. Then, a relighting model generates new dynamic lighting across the video. You can control the lighting in three ways: • Envmap sequences: Precise frame-level lighting control. • Text prompts: Describe color, direction, movement, and flicker. • Reference videos: Transfer lighting effects from another video. The team built a hybrid dataset with 34k+ paired videos: • ~24K synthesized from static OLAT lighting data • 10k+ generated by Wan2.2 This gives the model varied lighting and motion without costly dynamic light-stage capture. On envmap-based relighting, FlashRelight outperformed all baselines across all five evaluation metric For short videos, ads, or virtual-human content, this could make it easier to adjust a portrait’s lighting in post-production.

Alibaba Cloud just increased monthly quotas for all four Token Plan personal edition, with the biggest gains reaching 78% Effective Nov 9: Lite: 11.5K → 20K Credits/month. Still ¥39/month. Essential: 25.5K → 45K Credits/month. Still ¥79/month. Standard: 45K → 80K Credits/month. Still ¥139/month. Pro: 180K → 200K Credits/month, while the monthly price drops from ¥499 to ¥312. The effective cost per Credit is down by roughly 42–44% across all four plans.

DeepSeek Harness just launched Creator Mode, letting users build plugins with natural-language prompts. But developers have been going a step further. Meet dsh-purge, a project that gives developers more control over Harness prompts, permissions, sandbox policies, and tool execution. It has two main modules: Clean is the main control panel. Developers can edit system prompts, switch model-specific rule sets, manage files like AGENTS.md and CLAUDE.md, and adjust approval rules for terminal commands, file operations, and sub-agents. Unlike prompt-only tweaks, dsh-purge patches local @deepseek-ai packages and config files to change how Harness works. It also supports applying, restoring, and uninstalling patches. Drill is built for authorized local security testing, with tools for managing assets, test environments, skills, and knowledge bases. The project also backs up original files. After a Harness update, patches that no longer match the code are skipped or flagged for review rather than forcibly applied. Repository status: The original author's repository is no longer available. GitHub copies now include a team-maintained version and independent mirrors.