TEA module combined with deep learning improves agricultural VLN success rate to 0.54, reducing navigation error to 2.70m.

Xiaobei Zhao, Xingqi Lyu, Xin Chen et al.

Proposes a four-layer system framework and trustworthiness hierarchy, defining sustained safe success for embodied AI deployment.

Xinyu Yang, Tianxing Chen, Honghao Su et al.

Proposes TSDF-confidence-based quality-adaptive multi-UAV exploration, improving path efficiency and reconstruction fidelity.

Benjamin Sportich, Kenza Boubakri, Olivier Simonin et al.

Proposes BC-NMPC integrating battery and propulsion models for real-time thrust prediction and trajectory replanning in high-speed UAV flight.

Parakh M. Gupta, Matej Mihulka, Matej Novosad et al.

Proposes a data scaling law for high-precision robotic manipulation, described by log(N) ∝ 1/(P-c).

Cuijie Xu, Yuanfan Xu, Min Xue et al.

Robostral Navigate is a 8B vision-language model using monocular RGB input, achieving 77.4% success in navigation benchmarks.

Abdelaziz Bounhar, Abhijeet Somani, Aditi Kabra et al.

Empirical study using YAHMP framework shows how modeling and training choices impact humanoid motion tracking performance, validated on Unitree G1.

Fabio Amadio, Enrico Mingo Hoffman

UniETP unifies four simulators with standardized observation/action spaces, enabling diverse task generation for generalizable embodied planning.

Peiran Xu, Jiaqi Zheng, Ziyou Wang et al.

RoboHarness employs memory-driven policy orchestration to enable zero-shot long-horizon planning across heterogeneous robot policies, achieving 93.2% success on benchmarks.

Jinbang Huang, Yuanzhao Hu, Zhiyuan Li et al.

GeoWorldAD embeds explicit 3D geometry and future scene prediction, achieving state-of-the-art autonomous driving trajectory planning with PDMS of 91.0 on NAVSIM v1.

Songyan Zhang, Jinyuan Tian, Hanbing Li et al.

SPARK-VLN streams token-wise hidden states from slow VLM to fast planner, improving dynamic navigation safety and speed.

Tianshuai Hu, Yangyi Zhong, Zeying Gong et al.

Proposes asynchronous fast-slow vision-language-action inference, boosting route completion from 37.0 to 94.0.

Yun Li, Jiachen Gong, Simon Thompson et al.

MEMORA employs a formation-consolidation-retrieval lifecycle with typed stores, improving long-term robot planning by up to 20.5 points in memory assessment and 16.6% in planning scores.

Zihao Yu, Xiu Yuan, Chongjie Zhang

Proposes a robust minimum-time trajectory planning framework incorporating parametric uncertainty and sparse activation, validated via MPC Monte Carlo simulations, reducing failure rates by over 20%.

Martino Gulisano, Matteo Masoni, Marco Gabiccini

Xiaomi-Robotics-U0 is a 38-billion-parameter multimodal autoregressive model enabling multi-robot, multi-view scene generation and fine-grained embodied transfer.

Xinghang Li, Jun Guo, Qiwei Li et al.

WarpMPC uses ADMM with unrolled LDL⊤ factorization for large-batch GPU MPC, achieving 8,000–250,000 SQP iterations/sec.

Henrik Hose, Se Hwan Jeon, Charles Khazoom et al.

Lumo-2 leverages latent space reasoning and multi-modal alignment to enhance predictive control and generalization in robotic learning.

Peijun Tang, Shangjin Xie, Baifu Huang et al.

AgenticFocus converts human FPV videos into robot-trainable demonstrations with a SPARC score of -5.18.

Iaroslav Kolomiets, Miguel Altamirano Cabrera, Artem Lykov et al.

AnyDexRT enables calibration-free high-quality dexterous hand retargeting with few-shot human guidance.

Chenxi Wang, Ying Feng, Hongjie Fang et al.

WristMimic uses wrist-guided whole-body control with reinforcement learning, achieving comparable performance to full finger supervision on manipulation tasks.

Wongyun Yu, Youngwoon Kim, Minsu Cho