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Only Opinion#Perception and localization
Oct 31Sat
  1. Reddit r/robotics22

    Do robots really need extremely high tactile sensing resolution? Discussion sparked by a paper on fingerprint-level pressure sensing based on mechanochromic materials

    Reddit users discuss a paper on a tactile sensor based on mechanochromism, whose authors claim the sensor can capture pressure at fingerprint-level resolution and generate color pressure maps. The poster questions whether robots really need such high tactile resolution, and admits they are not a materials specialist and are unsure how the material actually works.

Oct 25Sun
  1. 3D视觉工坊 · 微信公众号22

    The hotter world models get, the more dangerous SLAM becomes? What robots lack isn't "imagining the future" but "remembering this moment"

    Addressing the problem that world-model predictions may be built on outdated perceptions of the environment, SLAM-MER at CVPR 2026 uses recent keyframe temporal information and a retrievable 3D representation for monocular SLAM, while GaME in the same year continuously updates its 3D Gaussian representation and removes outdated keyframe observations.

Oct 24Sat
  1. 3D视觉工坊 · 微信公众号42

    After feedforward reconstruction becomes 1,200 times faster, is BA still necessary in dynamic 4D reconstruction?

    StreamSplat at ICLR 2026 achieves purely feedforward, online generation of dynamic 3DGS directly from uncalibrated video streams, at 1,200 times the speed of optimization-based methods. But MoRe at CVPR 2026 actively embeds a BA-like refinement module in its purely feedforward pipeline; removing it raises Sintel ATE from 0.147 to 0.155. BA-Track, an ICCV 2025 Oral, uses a 3D point tracker to decompose camera and object motion, adapting classic BA to dynamic scenes.

Oct 16Fri
  1. 机器之心 · 微信公众号69

    From Hardware and Data to Models: How Sharpa Systematically Advances Dexterous Manipulation

    In a conversation with Synced, Sharpa's academic lead Zhang Kaifeng outlined three main threads for advancing dexterous manipulation: human-centered data collection, high-frequency tactile low-level control that decouples motion from interaction, and tactile-anchored cross-embodiment representation learning.

Oct 15Thu
  1. 3D视觉工坊 · 微信公众号28

    SLAM's Biggest Challenge Isn't Localization—It's 'Remembering': How Robots Understand a Constantly Changing World

    SLAM's core challenge is shifting from precise localization to long-term "memory": robots need to continuously update their environmental memory and distinguish stable structures from dynamic objects. GaME and Flow4DGS-SLAM from CVPR 2026, and DyGS-SLAM from ICCV 2025, address scene changes from the perspectives of Gaussian representation, optical-flow assistance, and dynamic reconstruction, respectively.

Oct 12Mon
Oct 9Fri
  1. Robohub33

    Robot Talk Episode 165: Robots behind the research—a conversation with Kushant Patel of Brookhaven National Laboratory

    In this episode of the podcast, Claire talks with Kushant Patel of Brookhaven National Laboratory about robots that work in scientific facilities such as particle accelerators. Patel develops software that helps robots and instruments perceive, map, and move through the physical world. He previously taught quadruped robots to map and inspect nuclear materials at UC Berkeley, and now develops control systems for advanced synchrotron light beamlines at Brookhaven.

Oct 8Thu
  1. Leiphone Robotics63

    Interview with Benewake's Li Yuan: Eleven years building eyes for machines, robotics LiDAR accounts for over half of revenue

    Leiphone's Zuo Lin You Li channel interviewed Benewake founder Li Yuan, reviewing his transition from optoelectronics scholar to entrepreneur. In the first half of 2025, Benewake delivered 250,000 LiDAR units for robots, with robotics business revenue accounting for more than half of the company's revenue; this revenue grew 100% in 2025 compared with 2024.

Sep 15Tue
  1. Leiphone Robotics53

    Xspark AI's Ding Wenbo on tactile intelligence: Robots need their own "spinal cord"

    In an interview, Xspark AI co-founder and chief scientist Ding Wenbo proposed that vision has already solved about 99% of robot perception problems, and that touch should form a low-latency, body-adjacent "spinal cord"-level model rather than being directly integrated into vision large models. He proposed a three-layer architecture of "slow brain VLM—fast brain VTLA+TWAM—spinal cord VTA," arguing that touch mainly serves collision-avoidance safety and post-training for dexterous manipulation, and noted that current bottlenecks lie in sensor consistency, tactile data representation, and unification across sensors, modalities, and embodiments.

Aug 4Tue
  1. Boston Dynamics38

    Ask a Roboticist: Meet Taylor, Engineer on Boston Dynamics Atlas Compute and Perception Team

    In an interview, Boston Dynamics mechanical engineer Taylor Frey-Baker discusses the design of the electric Atlas's head and how she entered the field. She is responsible for the compute core inside the head, which houses four perception modules with stereo vision; the head's modular design allows the entire unit to be swapped out and the compute core upgraded like a game cartridge. The hydraulic Atlas did not need a head because it performed movement demonstrations, whereas the electric Atlas relies on head cameras for a wider field of view and uses lights and sound to signal its status to people nearby.

Apr 21Wed
  1. OFweek Robotics19

    How Yunson Intelligent Builds Full-Scenario Intelligent Service Robots

    At the 3rd China International Service Robot Innovation and Development Conference, Shi Wenhua, Vice President of Technology at Yunson Intelligent, presented a full-scenario intelligent service solution centered on AI service robots. As a wholly owned subsidiary of Red Star Macalline Holding, the company builds smart mall, smart building, and smart community solutions, supported by an integrated scheduling and management platform. It holds more than 100 related invention patents, and its products have been applied in scenarios such as mall shopping guidance, exhibition hall tours, and government services.

Apr 9Fri
  1. OFweek Robotics27

    Rubotics' Qiu Qiang: Using an "intelligent hand-eye unit" combining motion planning and machine vision to address the intelligence and cost pain points of industrial robots

    Qiu Qiang, CTO of Shenzhen Rubotics, said the company uses machine vision and robot motion planning technology to build an intelligent hand-eye unit, targeting the two major pain points of industrial robots: insufficient intelligence and high application costs. Its bathroom polishing unit can use 3D vision to detect the shape of a washbasin and automatically plan the working trajectory, shortening debugging time; the intelligent hand-eye unit can free 1 to 2 workers from hazardous environments. On February 1 this year, Rubotics signed a cooperation agreement with Japan's RBB company, beginning its "going global" push.