Real-time whole-body teleoperation using Virdyn IMU motion capture, validated on Unitree G1 robot with Sim2Sim and Sim2Real.

Hamza Ahmed Durrani, Suleman Khan

MoLA uses pretrained multimodal inverse dynamics to convert imagined future videos into executable robot actions, boosting success and generalization.

Yajie Li, Bozhou Zhang, Chun Gu et al.

Proposed a method using multi-view latent priors for action manifold learning, outperforming on LIBERO dataset.

Junjin Xiao, Dongyang Li, Yandan Yang et al.

Proposed Pace-and-Path Correction method improves VLA model success rate by 28.8% in dynamic environments.

Yanyan Zhang, Chaoda Song, Vikash Singh et al.

IMPACT uses augmented Lagrangian with active-set strategy to solve MPCCs, achieving up to 70× speedup in contact-implicit trajectory optimization.

Jiayun Li, Dejian Gong, Georgia Chalvatzaki

LineRides employs line-guided reinforcement learning to enable a bicycle robot to perform diverse stunts without demonstrations or explicit timing, using sparse key orientations.

Seungeun Rho, Shamel Fahmi, Jeonghwan Kim et al.

This paper systematically studies latent action supervision in VLA models, comparing four strategies with specific improvements: image-based and action-based formulations.

Yihan Lin, Haoyang Li, Yang Li et al.

Transforms natural language safety rules into STL specifications, integrating VLM for zero-shot scene understanding in autonomous navigation.

Kristy Sakano, Kalonji Harrington, Mumu Xu

Proposes a six-layer semantic autonomy framework combining hybrid deterministic-VLM reasoning and cross-robot memory transfer, enabling efficient indoor robot navigation.

Bogdan Felician Abaza, Andrei-Alexandru Staicu, Cristian Vasile Doicin

VOFA integrates vision-based policies with force-adaptive control, achieving over 90% success in pushing unknown objects up to 17kg in real and simulated environments.

Zichao Hu, Zifan Xu, Dongsik Chang et al.

VLA-ATTC reduces failure rate by over 50% on LIBERO-LONG using a Relative Action Critic model.

Wenhao Li, Xiu Su, Yichao Cao et al.

This survey systematically analyzes robot world models, emphasizing their role as predictive tools for environment evolution, covering architectures, applications, and future challenges.

Bohan Hou, Gen Li, Jindou Jia et al.

Introduced a passage-aware structural mapping method for RGB-D Visual SLAM to effectively detect doors and traversable openings.

Ali Tourani, Miguel Fernandez-Cortizas, Saad Ejaz et al.

MoT-HRA framework learns human-intention priors from large-scale demonstrations, enhancing motion plausibility and control robustness in robotic manipulation.

Yifan Xie, YuAn Wang, Guangyu Chen et al.

Radar-KISSICP and Radar-IMU improve trajectory estimation in off-road environments.

Shaunak Kolhe, Peng Jiang, Maggie Wigness et al.

ACO-MoE recovers 95.3% performance under dynamic perturbations, enhancing visual RL robustness.

Zhengru Fang, Yu Guo, Fei Liu et al.

Integrating data-driven computational design with feedback-driven co-robotic fabrication for material reuse in architecture.

Arash Adel, Daniel Ruan, Ruxin Xie

Generate complex path vector fields using Score-Induced Guiding Vector Field (SGVF) to enhance robotic navigation.

Zirui Chen, Shiliang Guo, Shiyu Zhao

Proposes node-wise beam search (NBS) with frontier-based expected gain and RRAG graph for efficient active perception path planning, outperforming SOTA by 20%.

Kaixian Qu, Han Wang, Victor Klemm et al.

MoSS framework integrates tactile and torque signals into VLAs, boosting success rates to 49.0% in contact-rich tasks.

Jimin Lee, Huiwon Jang, Myungkyu Koo et al.