RoboSense Unveils AI Robotics Strategy and Cutting-Edge Innovations at 2025 Global Launch Event

RoboSense, a leader in AI-driven robotics, unveiled groundbreaking innovations at its 2025 "Hello Robot" Global Online Launch Event. Key highlights include a humanoid robotic prototype and three cutting-edge digital LiDAR products, revolutionizing automotive and robotics applications. RoboSense also introduced advanced components like the Papert 2.0 dexterous hand and Robo FSD mobility solution. These innovations will debut at CES 2025, showcasing the company's vision for a smarter, safer future.
RoboSense Unveils AI Robotics Strategy and Cutting-Edge Innovations at 2025 Global Launch Event
Image Credit: RoboSense

RoboSense, a pioneering AI-driven robotics technology company, hosted the world’s first AI Robotics Global Online Launch Event of 2025, “Hello Robot.” The event marked a pivotal moment in the company’s evolution, showcasing its strategic vision as a global robotics technology platform and unveiling groundbreaking achievements. Among the highlights were a series of cutting-edge products that will debut at the CES 2025, taking place from January 7–10 in Las Vegas.

 

Redefining RoboSense’s Identity and Capabilities


Building on a decade of technological innovation, RoboSense has demonstrated unparalleled expertise in LiDAR development and intelligent robotics. The launch event introduced RoboSense’s humanoid robotic prototype, a universal development platform that exemplifies the company’s in-depth understanding of intelligent robotics. This comprehensive platform lays the foundation for future advancements in vision, tactile sensing, mobility, and manipulation solutions.

A Fully Digital Era for LiDAR

At the heart of RoboSense’s unveiling were three high-performance digital LiDAR products designed for both automotive and robotics applications. These innovations mark the transition to a fully digitalized LiDAR era, achieving unprecedented breakthroughs in size, resolution, and precision:

1. EM4 – Revolutionizing the Automotive Market
The EM4 is the world’s first “Thousand-Beam” ultra-long-range automotive-grade digital LiDAR. Featuring 1080 beams and a detection range of up to 600 meters, EM4 provides vehicles with 1080P high-definition 3D perception, pushing the boundaries of advanced intelligent driving and fully autonomous capabilities.

2. E1R – A Breakthrough in Robotics LiDAR
The E1R is the world’s first fully solid-state digital LiDAR for robotics. Designed with automotive-grade reliability, it features RoboSense’s proprietary SPAD-SoC and 2D VCSEL chips. With its compact aperture and 120° × 90° ultra-wide field of view, E1R excels in obstacle avoidance, mapping, and navigation, supporting industrial, commercial, and embodied intelligent robots across diverse operational environments.

3. Airy – Hemispherical Vision for Robotics
The Airy is the world’s first 192-line hemispherical digital LiDAR, delivering a 360° × 90° ultra-wide field of view in a compact design comparable to a ping-pong ball. It boasts a detection range of 120 meters, 1.72 million points per second, and ±1cm precision, making it ideal for robots requiring omnidirectional perception in complex scenarios.

Pioneering a New Era of Robotics Solutions

As part of its mission to become the “global leader in robotics technology platforms,” RoboSense unveiled its humanoid robotic prototype to accelerate the development of robotics components and solutions. This platform integrates three core areas:

1. Vision Solutions:
RoboSense introduced the Active Camera, an intelligent ecosystem comprising sensor hardware, computational cores, and AI algorithms. By merging LiDAR signals and camera data, the Active Camera provides active environmental perception, overcoming challenges like lighting variability and visual illusions. Developers can use its SDK for seamless integration of mapping, localization, and obstacle avoidance, reducing development time and system complexity.

2. Manipulation Solutions:
RoboSense showcased its second-generation dexterous hand Papert 2.0 with 20 degrees of freedom, incorporating hand-eye coordination to create a closed-loop system. This innovation significantly enhances versatility and complexity across a wide range of tasks.

3. Mobility Solutions:
Building on its extensive automotive expertise, RoboSense has introduced an intelligent solution – Robo FSD to expanded into mobile robotics, enabling robots to achieve autonomous point-to-point mobility across various scenarios.

Incremental Components for Next-Generation Robots

In addition to its digital LiDAR lineup, RoboSense unveiled several new components tailored to diverse robotics needs:

  • FS-3D: A force sensor optimized for legged robots.
  • LA-8000: A high-power-density linear motor designed for robotic hip and knee joints.
  • DC-G1: A domain controller supporting real-time perception, multimodal large models, embodied intelligence operations, and advanced motion control algorithms.

Experience the Future of Robotics at CES 2025

RoboSense’s newly launched products will be showcased at CES 2025 in Las Vegas from January 7–10 at Booth 6700, West Hall, LVCC. For more information, visit www.robosense.ai.

About RoboSense

RoboSense (2498.HK), founded in 2014, is an AI-driven robotics technology company that supplies industry-leading incremental components and solutions for the robotics market. The company is committed to “Become the global leader in robotics technology platforms”, and its mission is “Safer world, Smarter life”.

 


Recent Content

The emergence of “vibe coding,” a term representing AI-driven software development, presents both opportunities and risks to the industry. This approach, emphasizing prompt engineering and AI-generated code, can potentially increase productivity and democratize development, but it also introduces concerns about code reliability, skill degradation, and dependence on AI. To harness the benefits of AI while mitigating these risks, developers must prioritize robust testing, clear coding standards, and a balance between intuitive insights and rigorous technical practices, ensuring that the fundamentals of software development are not lost.
Looking to learn AI in 2025 without breaking the bank? This blog breaks down the best free AI courses and certifications from top platforms like Google, IBM, and Harvard. Whether you’re a beginner, teacher, or tech professional, you’ll find career-relevant learning paths, direct course links, and tips to get certified and start building AI projects today.
Explore the transformative potential of Open Radio Access Networks (O-RAN) as it integrates AI, enhances security, and fosters interoperability to reshape mobile network infrastructure. In this article, we explore the advancements and challenges of O-RAN, revealing how it sets the stage for future mobile communications with smarter, more secure, and highly adaptable network solutions. Dive into the strategic implications for the telecommunications industry and learn why O-RAN is critical for the next generation of digital connectivity.
Nvidia’s Open Power AI Consortium is pioneering the integration of AI in energy management, collaborating with industry giants to enhance grid efficiency and sustainability. This initiative not only caters to the rising demands of data centers but also promotes the use of renewable energy, illustrating a significant shift towards environmentally sustainable practices. Discover how this synergy between technology and energy sectors is setting new benchmarks in innovative and sustainable energy solutions.
SK Telecom’s AI assistant, adot, now features Google’s Gemini 2.0 Flash, unlocking real-time Google search, source verification, and support for 12 large language models. The integration boosts user trust, expands adoption from 3.2M to 8M users, and sets a new standard in AI transparency and multi-model flexibility for digital assistants in the telecom sector.
SoftBank has launched the Large Telecom Model (LTM), a domain-specific, AI-powered foundation model built to automate telecom network operations. From base station optimization to RAN performance enhancement, LTM enables real-time decision-making across large-scale mobile networks. Developed with NVIDIA and trained on SoftBank’s operational data, the model supports rapid configuration, predictive insights, and integration with SoftBank’s AITRAS orchestration platform. LTM marks a major step in SoftBank’s AI-first strategy to build autonomous, scalable, and intelligent telecom infrastructure.

Download Magazine

With Subscription
Whitepaper
5G network rollouts are now sprouting around the globe as operators get to grips with the potential of new enterprise applications. Yet behind the scenes, several factors still could strongly impact just how transformative this technology will be in years to come. Ultimately, it will all boil down to one...
NetInsight Logo
Whitepaper
System integrators play a crucial role in the network ecosystem by bringing together various components and technologies from the diverse network ecosystem players to build, deploy, and operate comprehensive end-to-end solutions that meet the specific needs of their clients....
Tech Mahindra Logo

It seems we can't find what you're looking for.

Subscribe To Our Newsletter

Scroll to Top