COFFAIL dataset includes successful and anomalous robot skill executions in coffee preparation, supporting imitation learning.

Alex Mitrevski, Ayush Salunke

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

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

Chameleon enhances robotic manipulation with geometry-grounded multimodal memory, improving decision reliability in long-horizon tasks.

Xinying Guo, Chenxi Jiang, Hyun Bin Kim et al.

DexDrummer combines trajectory planning and residual RL, achieving an F1 score of 1.0.

Hung-Chieh Fang, Amber Xie, Jennifer Grannen et al.

NMR framework addresses humanoid motion retargeting via dynamic mapping, significantly reducing joint jumps and self-collisions.

Qingrui Zhao, Kaiyue Yang, Xiyu Wang et al.

Vision pathways dominate action generation in VLA models; language sensitivity is task-dependent.

Bryce Grant, Xijia Zhao, Peng Wang

NavTrust benchmarks embodied navigation robustness by systematically introducing RGB, depth, and instruction corruptions, revealing significant robustness gaps in current models.

Huaide Jiang, Yash Chaudhary, Yuping Wang et al.

OmniVTA integrates predictive contact modeling with high-frequency tactile feedback for breakthroughs in contact-rich manipulation.

Yuhang Zheng, Songen Gu, Weize Li et al.

FASTER introduces Horizon-Aware Schedule to significantly reduce reaction latency in VLA models.

Yuxiang Lu, Zhe Liu, Xianzhe Fan et al.

Sparse Autoencoders reveal interpretable and steerable features in VLA models, enhancing generalization on the LIBERO benchmark.

Aiden Swann, Lachlain McGranahan, Hugo Buurmeijer et al.