Articoli di ricerca sulla robotica — riassunti in linguaggio semplice | RobotOverflow | Robot Overflow

Autonomous Robot Manipulation Skills Through Language-Driven Quality-Diversity

Autonomous Robot Manipulation Skills Through Language-Driven Quality-Diversity

Overall, most methods for autonomously acquiring robot skills focus on obtaining single, high-performing solutions.

Émiland Garrabé, Mahdi Khoramshahi, Stéphane Doncieux

Two Arms Build 3D Maps from Calibrated RGB-D Data for Robots

Two Arms Build 3D Maps from Calibrated RGB-D Data for Robots

DARP is a calibrated dual-arm RGB-D-IR dataset that aligns complementary robot-camera views for measurable 3D perception.

Manish Kansana, Mohammed Yusuf Mujawar, Sudip Mittal +2

Persistent Programs for Language-Grounded Robot Control, Learning, and Transfer

Persistent Programs for Language-Grounded Robot Control, Learning, and Transfer

Data generators scale robot experience by retargeting object-relative demonstration segments across scene configurations.

Weiqi Wang, Zhi Li, Yudong Lei +7

Pictura Trains Self-Driving Policies with Perspective Self-Play at Scale

AIl’altro ieri

Pictura Trains Self-Driving Policies with Perspective Self-Play at Scale

Yuan Yin, Elias Ramzi, Marc Lafon +8

Particle World Modeling for Text-Assisted Robot Video Prediction

AIl’altro ieri

Particle World Modeling for Text-Assisted Robot Video Prediction

Yafei Zhang, Nan Wu

ChainSplat Helps Robots Learn Flexible Object Motion From RGB Video

Roboticsl’altro ieri

ChainSplat Helps Robots Learn Flexible Object Motion From RGB Video

ChainSplat learns a compact physics-based digital twin for deformable linear objects from RGB video, enabling prediction, state estimation, and manipulation.

Seungyeon Kim, Noémie Jaquier

Transitional AV Lane-Change Dataset Reveals How Gaps Converge and Collision Risk Peaks

Robotics3 gg fa

Transitional AV Lane-Change Dataset Reveals How Gaps Converge and Collision Risk Peaks

New field experiments with a transitional autonomous vehicle (tAV) performing 78 mandatory lane changes on a public road show that lead and lag gaps consiste…

Abhinav Sharma, Md Abdullah Al Hasan, Danjue Chen +1

New Model Teaches Robots to Predict Visual Changes with Uncertain Latent Actions

New Model Teaches Robots to Predict Visual Changes with Uncertain Latent Actions

Zuojin Tang, Feifan Luo, Haoyun Liu +10

Riemann-1.0 Builds Embodied World Action Models for Physical AI

Robotics3 gg fa

Riemann-1.0 Builds Embodied World Action Models for Physical AI

Haofeng Sun, Jiangbo Pei, Fei Kang +13

Robotic Active Sensing Maps Plant Stress Across Individual Plant Leaves

Robotic Active Sensing Maps Plant Stress Across Individual Plant Leaves

Plant phenotyping based on observable traits plays a critical role in modern agriculture, both for stress detection and genotype-linked breeding.

Ayman Laaroussi, Peter Hanappe, David Colliaux

State-Aware Task Planning with Multimodal LLMs for Human-Robot Collaboration

State-Aware Task Planning with Multimodal LLMs for Human-Robot Collaboration

STEP enhances long-term action anticipation with multimodal large language models by explicitly modeling state transitions.

Maitrey Gramopadhye, Prakash Baskaran, Xiao Liu +2

Scheduling Marine Autonomous Vehicle Fleets for Greater Scientific Impact

Robotics4 gg fa

Scheduling Marine Autonomous Vehicle Fleets for Greater Scientific Impact

Mehdi El Krari, Jonathan Smith, Maria Fox

Task-Aware 3D Detection Improves Fast LiDAR Robot Perception

Task-Aware 3D Detection Improves Fast LiDAR Robot Perception

Su Wang, Yaochen Li, Min Yang +3

FlashVLA Streams Robot Actions for Faster Asynchronous VLA Control

Robotics5 gg fa

FlashVLA Streams Robot Actions for Faster Asynchronous VLA Control

Pretrained VLAs are trained to denoise each chunk from scratch in isolation and have never seen a partially populated buffer.

Zekai Li, Jiaming Tang, Zhijian Liu

Cross-Embodiment Video World Models Enable Zero-Shot Physical Simulation

Cross-Embodiment Video World Models Enable Zero-Shot Physical Simulation

The defining breakthroughs in large language models were precipitated by web-scale training on diverse text datasets.

Kechen Liu, Ola Shorinwa

ROS 2 Unity Toolkit for Autonomous Mobile Robot Fleet Management

Robotics6 gg fa

ROS 2 Unity Toolkit for Autonomous Mobile Robot Fleet Management

Andrea Drudi, Lorenzo Pichierri, Andrea Testa +1

Fast Generative Grasping Uses Lie Groups for Faster Real Robot Control

Robotics6 gg fa

Fast Generative Grasping Uses Lie Groups for Faster Real Robot Control

S. Talha Bukhari, Yi Wei, Ruiqi Ni +2

Zero-WAM: Human Video Instructions for Open-Ended Robot Task Generalization

Robotics6 gg fa

Zero-WAM: Human Video Instructions for Open-Ended Robot Task Generalization

In zero-shot cross-task manipulation, the robot must execute a novel task without finetuning.

Jiaming Zhou, Qihang Zhang, Gangwei Xu +9

ODEWorld Brings Continuous-Time World Modeling to Robot Manipulation

ODEWorld Brings Continuous-Time World Modeling to Robot Manipulation

Continuous-time world model ODEWorld hits 83.2% task success on LIBERO-LONG and translates language instructions into visual goals.

Dongxiu Liu, Haoyi Niu, Peng Cheng +5

4D Radar Odometry That Holds Up in Fog, Rain, and Dust

Robotics7 gg fa

4D Radar Odometry That Holds Up in Fog, Rain, and Dust

Sangwoo Jung, Dongjae Lee, Chiyun Noh +1