Proposed SAGR framework coordinates multi-robot language-guided search using semantic area graphs, improving efficiency by 18.8% in large environments.

Ruiyang Wang, Hao-Lun Hsu, Jiwoo Kim et al.

DENALI dataset enables non-line-of-sight spatial reasoning with low-cost LiDARs, covering 72,000 scenes.

Nikhil Behari, Diego Rivero, Luke Apostolides et al.

Proposed a fleet sizing rule for multi-UAV missions ensuring 99.8% success, needing only four extra drones even under harshest conditions.

Vishal Ramesh, Antony Thomas

DTEA enables real-time switching between SEA and PEA topologies with switching time under 33.33 ms.

Vishal Ramesh, Aman Singh, Shishir Kolathaya

Proposed environment-adaptive solid-state LiDAR-inertial odometry, achieving 12.8% average RMSE reduction.

Zhi Zhang, Chalermchon Satirapod, Bingtao Ma et al.

In modular robots, Lamarckian evolution outperforms Darwinian in single-task optimization but declines under morphological diversity pressure.

Jed R Muff, Karine Miras, A. E. Eiben

ShapeGen generates diverse shape manipulation data to enhance policy category-level generalizability.

Yirui Wang, Xiuwei Xu, Angyuan Ma et al.

ASTRA method achieves successful policy transfer from abstract simulators to the real world using self-predictive abstraction.

Yunfu Deng, Yuhao Li, Josiah P. Hanna

Proposed a vision-based human-robot collaboration framework combining uncertainty estimation and OOD detection, significantly enhancing safety.

Jakob Thumm, Marian Frei, Tianle Ni et al.

HiST-AT achieves a 59% success rate in robotic imitation learning using a hierarchical spatiotemporal action tokenizer.

Fawad Javed Fateh, Ali Shah Ali, Murad Popattia et al.

Proposed dual pose-graph semantic localization reduces ATE by 56% to 74% on TII-RATM dataset.

David Perez-Saura, Miguel Fernandez-Cortizas, Alvaro J. Gaona et al.

NEAT-NC enhances NEAT with navigation cells for dynamic environment path planning.

Hibatallah Meliani, Khadija Slimani, Samira Khoulji

The paper introduces a POMDP-based object search method GNPF-kCT, significantly improving target localization speed.

Yongbo Chen, Hesheng Wang, Shoudong Huang et al.

UMI-3D extends UMI with LiDAR integration for robust 3D spatial perception, enhancing data collection quality.

Ziming Wang

Proposes federated, multi-agent, and collaborative sensing algorithms for satellite constellations, addressing dynamic connectivity and non-IID data, achieving 15% accuracy boost and 30% communication reduction.

Ziyang Wang

Goal2Skill uses a dual-system with VLM-based planning and diffusion-based control, achieving 32.4% success in long-horizon tasks.

Zhen Liu, Xinyu Ning, Zhe Hu et al.

Introduces Touch Dreaming-enhanced HTD model, achieving 90.9% success in humanoid contact-rich manipulation via multimodal Transformer.

Yaru Niu, Zhenlong Fang, Binghong Chen et al.

Tree Learning employs hierarchical parameter inheritance to enable multi-skill continual learning in humanoid robots, achieving 100% skill retention and smooth switching.

Yifei Yan, Linqi Ye

WM-DAgger synthesizes OOD recovery data using World Models, achieving a 93.3% success rate in soft bag pushing with five demonstrations.

Anlan Yu, Zaishu Chen, Peili Song et al.

WARPED generates wrist-view data from monocular RGB videos, reducing data collection time by 5-8x for robot learning.

Harry Freeman, Chung Hee Kim, George Kantor