ChronoFlow-Policy unifies past-current-future interaction flow via sparse 3D keypoints, boosting robot manipulation success by 20%.

Bokai Lin, Yifu Xu, Xinyu Zhan et al.

Synthesis for Time Window Temporal Logic via MILP enhances control input robustness.

Philip Smith, Ahmad Ahmad, Kevin Leahy

Proposes DERAIL attack exploiting scoring head vulnerability in generative E2E autonomous driving, causing collision rates up to 50%.

Halima Bouzidi, Mboutidem Ekemini Mkpong, Haoyu Liu et al.

HUMEMBR combines continuous memory construction with structured retrieval, enabling long-term human routine modeling for improved robot reasoning.

Samira Huber, Klaas Pelzer, Duc M. Nguyen et al.

Hierarchical navigation with cross-graph memory and viewpoint planning improves quadrotor image-based object localization, achieving 88% success in simulation.

Junjie Gao, Yuqi Chen, Yongzhou Pan et al.

CI-MSE improves offline validation by focusing on task-critical segments, enhancing correlation with real-world performance.

Haoxu Huang, Tongsam Zheng, Yifan Chen et al.

Concept-centric memory framework improves long-horizon embodied manipulation by explicit object structure, achieving 70% success on RMBench.

Mingyang Sun, Xiujian Liang, Jiude Wei et al.

TacGen aligns vision and touch via contrastive learning and latent diffusion, effectively addressing tactile data scarcity and improving physical property representation.

Wanghao Ye, Aarosh Das, Sihan Chen et al.

Human2Any employs object-centric interaction priors learned from human videos, enabling cross-embodiment robot manipulation without real robot demonstrations.

Shuo Cheng, Chuye Zhang, Alfred Cueva et al.

PA-BiCoop framework improves RLBench2 tasks by 48% on average and over 50% in real-world tasks.

Bai Qicheng, Wang Ziru, Ma Teli et al.

LocalNav distills frontier VLMs and RL to enable ObjectNav on embedded devices, reducing inference latency by 82.8%.

Nicolas Baumann, Liam Boyle, Pu Deng et al.

RouterVLA leverages smoke tests as supervision via outcome-disjoint cross-fitting, boosting heterogeneous VLA policy selection success from 46.86% to 61.49%.

Xingyu Ren, Chugang Yi, Ge Ma et al.

PlanRL integrates Frenet-based polynomial trajectory planning with RL, achieving 5% score improvement and 19% success rate increase on CARLA benchmarks.

Joonhee Lim, Yongjae Lee, Jangho Shin et al.

Play2Perfect uses play pretraining on diverse objects to achieve precise assembly, improving sample efficiency by 33x.

Tyler Ga Wei Lum, Kushal Kedia, C. Karen Liu et al.

ASSCG uses RWKV for adaptive gating in fast-slow systems, achieving +2.28 score and 60% latency reduction on nuPlan Hard20.

Sining Ang, Yuan Chen, Liu Haiyan et al.

RAVEN uses visual embeddings as long-term memory for scalable robot reasoning and navigation.

Yixun Hu, Zhicheng Zheng, Lihan Zha et al.

ReTVL leverages sparse retry event supervision to capture local mistake-recovery dynamics, outperforming progress-based models in fine-grained value estimation.

Xinyao Qin, Junjie Lu, Kaixin Wang et al.

Proposes optimization-guided diffusion model to enhance physical feasibility in robot control, improving grasp task success by 20%.

Sabrina Bodmer, René Zurbrügg, Tifanny Portela et al.

See2Act employs diffusion models for active perception, coupling viewpoint inference with action prediction, achieving 95% success in occluded manipulation tasks.

Kuancheng Wang, Vaibhav Saxena, Shuo Cheng et al.

HoloAgent-0 integrates 3D spatial memory with multi-layered skill scheduling, enabling long-horizon autonomous navigation and manipulation.

Xiaolin Zhou, Liu Liu, Tingyang Xiao et al.