Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Xia Zhongpu Joins Wujie Power as Co-Founder and Co-CTO
Wujie Power has appointed Xia Zhongpu as Co-Founder and Co-CTO, a move aimed at strengthening its technological capabilities. In his new role, Xia will spearhead the development of advanced multimodal models grounded in world models and will be responsible for enhancing the company's core technological infrastructure. Xia brings a wealth of experience to Wujie Power, having previously held significant positions at Li Auto and Baidu. This strategic appointment is part of Wujie Power's ongoing efforts to innovate and lead in the technology sector.
Robotics Artificial Intelligence Multimodal Models Autonomous Driving
"BioGeometry" secures hundreds of millions in strategic funding to create a "microscopic world model" in life sciences.
AI-native biotechnology company BaiAo Geometry has successfully secured several hundred million yuan in strategic financing, with investments led by the Shanghai Biomedical Innovation Transformation Fund, Guoke Investment, Dacheng Wisdom, and Xinglian Capital, alongside follow-on investments from GaoRong Capital and the Index AI Industry Innovation Fund. The funds will primarily support the ongoing development of their life sciences micro-world model, GeoFlow, and the advancement of their proprietary drug pipeline. Artificial intelligence is rapidly evolving along two main trajectories: digital AI, represented by large language and multimodal models, and physical AI, exemplified by autonomous vehicles and humanoid robots. Life AI is emerging as a promising frontier, a sentiment echoed by leading global investors and scientists. BaiAo Geometry's GeoFlow model, launched in 2024, aims to understand and design molecular interactions at an atomic level, enabling the creation of novel molecules that have never existed in nature. The company has iterated GeoFlow multiple times, achieving significant advancements in protein structure prediction and de novo design capabilities. By applying Test-Time Scaling technology, BaiAo Geometry enhances the success rate of protein designs without the need for extensive retraining. This innovation allows for the rapid generation and optimization of high-affinity binding molecules, significantly reducing the time and cost associated with traditional drug discovery processes. BaiAo Geometry has established over 20 business development collaborations with domestic and international pharmaceutical companies, focusing on high-specificity antibody design and vaccine development. The company is currently working on the next iteration of GeoFlow, which aims to expand modeling from individual molecules to entire molecular systems, further revolutionizing drug development in the biotechnology sector.
Wujie Power and Shenshu Technology Collaborate to Build a Comprehensive Technology Foundation for Embodied Intelligence
Wujie Power and Shenshu Technology have formed a strategic partnership focused on advancing embodied intelligence technologies. This collaboration, announced recently, seeks to integrate multimodal models with robotics, thereby enhancing robotic capabilities in complex environments. The partnership aims to accelerate the commercialization of advanced artificial intelligence solutions, positioning both companies at the forefront of innovation in this rapidly evolving field.
Embodied Intelligence Multimodal AI Robotics AI Technology
GenEgoData: The Industry's First Dataset for Embodied World Models Officially Released
JianZhi Robotics has unveiled GenEgoData, the first multimodal dataset specifically designed for embodied world models. Launched recently, this innovative dataset captures high-quality, natural human interactions from an ego-centric perspective. The primary goal of GenEgoData is to improve the understanding of physical world dynamics and human behavior, providing valuable insights for researchers and developers in the field of robotics and artificial intelligence. By focusing on realistic interactions, the dataset aims to bridge the gap between human experiences and machine learning applications, ultimately enhancing the development of more intuitive and responsive robotic systems.
Embodied Intelligence World Models Human Behavior Data AI Robotics
DiDi Autonomous Driving launches Voyager Labs for multimodal end-to-end driving research
DiDi Autonomous Driving has launched DiDi Voyager Labs, a new research initiative aimed at advancing end-to-end autonomous driving through the development of multimodal large models, world models, and reinforcement learning. This initiative, announced recently, will collaborate with a research team led by Professor Li Shengbo from Tsinghua University. The partnership is designed to leverage a joint framework that combines specialized expertise and resources to enhance the capabilities of autonomous driving technologies. This strategic move underscores DiDi's commitment to innovation in the autonomous vehicle sector and its efforts to stay at the forefront of technological advancements in this rapidly evolving field.
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Design and Motion Control of a Propeller–Leg Hybrid Multimodal Underwater Adhesion Robot
The Journal of Field Robotics has published an early view article that explores advancements in robotic technology and its applications in various fields. This publication, released in October 2023, highlights the innovative research conducted by a team of engineers and scientists aiming to enhance the efficiency and capabilities of robotic systems. The study focuses on the integration of artificial intelligence and machine learning to improve navigation and decision-making processes in autonomous robots. Researchers conducted extensive field tests to evaluate the performance of these systems in real-world environments, demonstrating significant improvements over previous models. The findings are expected to impact industries such as agriculture, manufacturing, and disaster response, where robotic assistance can lead to increased productivity and safety. This research underscores the growing importance of robotics in addressing complex challenges and advancing technological solutions across multiple sectors.
RESEARCH ARTICLE
DeepSeek releases new models Janus-Pro and JanusFlow on Lunar New Year’s Eve
In the early hours of January 28, coinciding with Lunar New Year’s Eve, DeepSeek introduced two innovative multimodal frameworks, Janus-Pro and JanusFlow. Janus-Pro serves as an enhanced iteration of the original Janus framework, aiming to provide a cohesive solution for both multimodal understanding and generation. This new model features decoupled visual encoding, which significantly boosts its adaptability and performance across a range of tasks. The launch reflects DeepSeek's commitment to advancing technology in the field of artificial intelligence, particularly in enhancing the capabilities of multimodal systems.
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HKU Professor Li Hongyang secures hundreds of millions in seed funding for his startup on embodied AI.
Archon Robotics, a Shanghai-based company specializing in whole-body humanoid models, has successfully secured hundreds of millions in seed funding from prominent investors, including ZhenFund, Gao Rong Capital, IDG Capital, and others. The financing round, which took place recently, aims to enhance the development of humanoid models, collect multimodal motion data, expand the talent team, and establish research centers and industry partnerships, with the goal of launching an open-source humanoid model by the end of this year. Founded in April 2026, Archon Robotics focuses on creating whole-body intelligence for humanoid robots, enabling them to perform complex tasks that require full-body coordination. The company's founder, Dr. Hongyang Li, is an assistant professor at the University of Hong Kong and has received accolades for his work in autonomous driving. Co-founder and CEO Dr. Tianyu Li, along with the core team, brings expertise from top institutions and has a strong background in robotics and AI. The humanoid robotics sector is at a pivotal moment, with significant investments occurring but lacking a unified technical consensus. Current limitations in training data restrict robots to simple tasks, as they often lack the necessary information for complex human-like interactions. Archon Robotics aims to address these gaps by redefining data collection methods to better capture human coordination and movement dynamics. The company plans to release its first humanoid model in late 2026, emphasizing the need for robots to operate effectively in dynamic home environments. By focusing on comprehensive data collection and understanding physical interactions, Archon Robotics seeks to advance the capabilities of humanoid robots beyond current limitations.
Alibaba's Qwen3.7-Plus supports text, video and imagery inputs at low cost of $0.4/$1.6 per 1M token — but it's proprietary
Alibaba has unveiled its latest AI large language model, Qwen3.7-Plus, this week, enhancing its Qwen family with advanced multimodal capabilities and a cost reduction of 60% compared to the previous text-only model, Qwen3.7-Max. Unlike earlier versions, Qwen3.7-Plus is available solely under a closed commercial license through proprietary APIs and Qwen Chat, marking a significant shift from Alibaba's previous strategy of offering open-source models. This change may disappoint users and enterprises, including major U.S. companies like Airbnb, that relied on open-source versions. The new model excels in multimodal tasks, such as generating enterprise-grade visuals and analyzing videos and images, which its predecessor could not perform. With a competitive pricing structure, Qwen3.7-Plus is positioned just above its Chinese competitor's discounted model. It features a 1-million token context window and a unique parameter called 'preserve_thinking,' which helps maintain continuity during complex tasks, a critical need for developers. Despite its advantages, benchmarks indicate that Qwen3.7-Plus still falls short of leading U.S. models in raw capability. However, it is designed to replace high-cost models in developer workflows and robotic process automation, offering a cost-effective solution for enterprises. The model's cloud-based deployment raises compliance concerns for organizations with strict data residency requirements, as it cannot be downloaded or hosted locally. Overall, Qwen3.7-Plus presents a compelling option for enterprises seeking efficient, multimodal AI solutions without incurring high operational costs.
Technology
NVIDIA Launches Nemotron 3 Nano Omni Model, Unifying Vision, Audio and Language for up to 9x More Efficient AI Agents
NVIDIA has introduced the Nemotron 3 Nano Omni, an innovative open multimodal AI model designed to enhance the efficiency of AI agent systems. Announced today, this model integrates vision, speech, and language capabilities into a single framework, addressing the common issue of time and context loss that occurs when data is transferred between separate models. By streamlining these processes, the Nemotron 3 Nano Omni aims to improve the performance of AI applications across various domains. This advancement is particularly significant as it allows for more cohesive and contextually aware interactions, marking a notable step forward in the development of AI technologies.
ByteDance Releases Doubao-Seed-2.0, Positions Pro Model Against GPT 5.2 and Gemini 3 Pro
ByteDance has unveiled Doubao-Seed-2.0, the newest iteration of its Doubao large language model series. This latest version, particularly the Pro variant, has been benchmarked against advanced models such as GPT 5.2 and Gemini 3 Pro. It is specifically engineered to excel in long-chain reasoning and agent-based tasks. According to ByteDance, Doubao 2.0 Pro has demonstrated superior performance across various multimodal, mathematical, and coding benchmarks, positioning it as a leading contender in the competitive landscape of artificial intelligence. The release reflects ByteDance's commitment to advancing AI technology and enhancing its capabilities for complex problem-solving tasks.
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Alibaba’s Qwen Chief Reveals New Robotics and Embodied AI Team
Lin Junyang, the leader of Alibaba's Qwen large language model, announced on X that he has established a dedicated team focused on robotics and embodied AI within the Qwen initiative. This development comes as multimodal foundation models advance into foundation agents, which are designed to utilize tools and memory for extended reasoning capabilities through reinforcement learning. This strategic move reflects Alibaba's commitment to enhancing AI technology and its applications in various fields.
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NVIDIA Details Open-Source GR00T N1 Foundation Model and Hover Controller for Humanoids
At the Marktechpost miniCON Open Source AI 2025, NVIDIA Research Scientist Yuke Zhu unveiled Project GR00T, which focuses on a simulation-first strategy for developing generalist foundation models tailored for humanoid robots. The initiative includes the launch of the open-source GR00T N1 multimodal model and the Hover whole-body controller. These innovations aim to enhance cross-embodiment capabilities and expedite development processes for NVIDIA's robotics partners. This presentation highlights NVIDIA's commitment to advancing robotics technology through collaborative and open-source efforts.
NVIDIA open-source hover GR00T
CVPR 2026 fields 16,000+ paper submissions on technical advances in AI
The program committee for the 2026 Conference on Computer Vision and Pattern Recognition (CVPR), a premier event in artificial intelligence and computer vision research, has unveiled the details of this year's technical program. Co-sponsored by the IEEE Computer Society and the Computer Vision Foundation, the conference has attracted a record number of submissions, reflecting the growing interest and advancements in the field. Scheduled to take place in 2026, CVPR will serve as a platform for researchers and industry professionals to share their latest findings and innovations. The committee's announcement highlights the importance of collaboration and knowledge exchange in advancing computer vision technologies.
Engineering Events Science agentic ai ai research artificial intelligenceRobotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
