Radar-based localization system for AGVs achieves accuracy comparable to lidar, with median errors of 0.013m/米 and 0.021°/米, suitable for low-power embedded hardware.

Andrew J. Kramer, Christoffer Heckman

Using Dreamer-v3 with tactile sensors enables autonomous robotic insertion, achieving up to 90% success in simulation and 75% in real-world tests.

Daniel Palenicek, Theo Gruner, Tim Schneider et al.

Hierarchical multimodal intention prediction using five LLMs achieves 92% accuracy by integrating visual, speech, and environmental cues.

Hassan Ali, Philipp Allgeuer, Stefan Wermter

Combines AHP with improved GA and A* for multi-criteria path planning, enhancing continuum robot resilience.

Oxana Shamilyan, Ievgen Kabin, Zoya Dyka et al.

Integrating distributed AI and multi-agent systems enhances autonomous motion control in continuum robots, improving resilience and precision.

Oxana Shamilyan, Ievgen Kabin, Zoya Dyka et al.

CGDF: A diffusion-based method for dense, constrained 6-DoF grasping on complex shapes, achieving over 60% success in challenging scenarios.

Gaurav Singh, Sanket Kalwar, Md Faizal Karim et al.

Enhancing 6-DoF grasp detection generalization via domain prior knowledge, achieving significant improvement on GraspNet-1billion.

Haoxiang Ma, Modi Shi, Boyang Gao et al.

Introduces a triangular modulation-based Doppler velocity extraction method for spinning FMCW radar, significantly improving odometry robustness in degenerate environments.

Daniil Lisus, Keenan Burnett, David J. Yoon et al.

QuAD enhances autonomous driving planning by querying occupancy at relevant spatio-temporal points for improved safety and interpretability.

Sourav Biswas, Sergio Casas, Quinlan Sykora et al.

Propose GraspXL, a reinforcement learning framework that generates multi-object grasping motions for over 500k unseen objects with 82.2% success, without relying on 3D hand-object data.

Hui Zhang, Sammy Christen, Zicong Fan et al.

Proposed a model predictive control framework with discrete high-order control barrier functions for collision-free trajectory planning in dynamic environments.

Shuo Liu, Yihui Mao, Calin A. Belta

HOV-SG constructs hierarchical open-vocabulary 3D scene graphs, achieving 12-15% accuracy improvements and 75% storage reduction for language-grounded robot navigation.

Abdelrhman Werby, Chenguang Huang, Martin Büchner et al.

End-to-end onboard gesture-based UAV formation control integrating detection, tracking, and human-swarm interaction, enabling real-time adaptive safety monitoring.

Vít Krátký, Giuseppe Silano, Matouš Vrba et al.

CRPlace fuses multi-view camera images and radar point clouds using BEV representation, achieving 91.2% recall@1 for place recognition.

Shaowei Fu, Yifan Duan, Yao Li et al.

Proposes CoVR method leveraging visual residuals and large multimodal models for preference inference, achieving 72% success in simulation.

Joonhyung Lee, Sangbeom Park, Yongin Kwon et al.

GL-MSDA method enhances cross-domain performance in grasp detection via global-to-local RGB-D adaptation.

Haoxiang Ma, Ran Qin, Modi shi et al.

ALDM-Grasping uses diffusion models for zero-shot Sim-to-Real transfer in robot grasping, achieving a 75% success rate.

Yiwei Li, Zihao Wu, Huaqin Zhao et al.

FedRoot splits model into feature extractor and task layers; FedLGR uses generative replay for continual learning, reducing resource use by up to 86%.

Nikhil Churamani, Saksham Checker, Fethiye Irmak Dogan et al.

Introduces MultiGripperGrasp, a dataset with 11 grippers, 345 objects, 30.4M grasps, enabling cross-gripper transfer and ranking.

Luis Felipe Casas, Ninad Khargonkar, Balakrishnan Prabhakaran et al.

MoMa-LLM integrates dynamic scene graphs with open-vocabulary reasoning, boosting interactive object search efficiency by 30% in large indoor environments.

Daniel Honerkamp, Martin Büchner, Fabien Despinoy et al.