#3D Perception (7)

StereoPolicy Learns 3D Structure Directly From Stereo Images

@LambdaAPI · 150 views · 2026-09-09

Stereo visionRobot Learning3D Perception

RoboSense AC1 Active Stereo Depth Camera

RoboSense AC1 is an active stereo depth camera for robots and outdoor use: 70 m max range, 100 klux sunlight resistance, 1 cm (1 sigma) depth accuracy, 120x60 deg depth FOV, 144x78 deg RGB FOV, -20 to +60 C operating range; stable 3D perception in bright sunlight for inspection robots, AGVs and UGVs, combinable with LiDAR for multi-sensor fusion.

COMPONENT

Depth camerasStereo vision3D PerceptionInspectionRobots

0:10

Flex-π: compute-flexible robot foundation model

@yokoshaan · 119 views · 2026-08-14

VLAFlex-πRobot foundation models

0:08

RoboSense Ships 719K LiDAR Units in H1 2026

@techniahqrobot · 122 views · 2026-08-01

LiDARRoboSensePerception

Gallant: Voxel Grid-based Humanoid Locomotion and Local-navigation across 3D Constrained Terrains

Robust humanoid locomotion requires accurate and globally consistent perception of the surrounding 3D environment. However, existing perception modules, mainly based on depth images or elevation maps, offer only partial and locally flattened views of the environment, failing to capture the full 3D structure. This paper presents Gallant, a voxel-grid-based framework for humanoid locomotion and local navigation in 3D constrained terrains. It leverages voxelized LiDAR data as a lightweight and structured perceptual representation, and employs a z-grouped 2D CNN to map this representation to the control policy, enabling fully end-to-end optimization. A high-fidelity LiDAR simulation that dynamically generates realistic observations is developed to support scalable, LiDAR-based training and ensure sim-to-real consistency. Experimental results show that Gallant's broader perceptual coverage facilitates the use of a single policy that goes beyond the limitations of previous methods confined to ground-level obstacles, extending to lateral clutter, overhead constraints, multi-level structures, and narrow passages. Gallant also firstly achieves near 100% success rates in challenging scenarios such as stair climbing and stepping onto elevated platforms through improved end-to-end optimization.

Qingwei Ben, Botian Xu, Kailin LiNov 18, 2025

HumanoidVoxel Grid3D PerceptionNov 18, 2025

3D-Aware VLMs with Implicit and Explicit Geometries

Despite rapid progress, most existing vision-language models (VLMs) built from 2D visual inputs often struggle when handling various 3D tasks that require fine-grained spatial understanding and reasoning. To bridge this gap, we present VLM-IE3D, a unified framework that enhances the 3D spatial awareness of VLMs by equipping them with both implicit and explicit 3D geometries learned from RGB videos. Our VLM-IE3D introduces Implicit Geometry Tokens (IGTs) that capture high-level geometric priors from input videos, as well as complementary Explicit Geometry Tokens (EGTs) that encode detailed geometric structures from reconstructed 3D attributes. On top of that, VLM-IE3D comes with a 3D-aware adapter that effectively fuses the two types of geometric representations with 2D visual cues. This RGB-only design injects strong 3D inductive biases for fine-grained spatial understanding and reasoning without requiring any additional 3D inputs. Extensive experiments show that VLM-IE3D achieves superior performance consistently across various 3D tasks including 3D video detection, 3D visual grounding, 3D dense captioning, and spatial reasoning. Code and models are available at https://github.com/Vegetebird/VLM-IE3D.

Wenhao Li, Xueying Jiang, Quanhao QianJul 23, 2026

3D-AwareVLMGeometryJul 23, 2026

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Single-arm bipedal robot with whole-body control & 3D perception

@ZappyZappy7 · 78 views · 2026-07-20

Bipedal robotsWhole-Body Control3D Perception