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cs.RO2026

HiPAN: Hierarchical Posture-Adaptive Navigation for Quadruped Robots in Unstructured 3D Environments

Jeil Jeong, Minsung Yoon, Seokryun Choi +3

Navigating quadruped robots in unstructured 3D environments poses significant challenges, requiring goal-directed motion, effective exploration to escape from local minima, and pos…

cs.RO2026

CLaD: Planning with Grounded Foresight via Cross-Modal Latent Dynamics

Andrew Jeong, Jaemin Kim, Sebin Lee +1

Robotic manipulation involves kinematic and semantic transitions that are inherently coupled via underlying actions. However, existing approaches plan within either semantic or lat…

cs.RO2026

Visual-RRT: Finding Paths toward Visual-Goals via Differentiable Rendering

Sebin Lee, Jumin Lee, Taeyeon Kim +3

Rapidly-exploring random trees (RRTs) have been widely adopted for robot motion planning due to their robustness and theoretical guarantees. However, existing RRT-based planners re…

cs.RO2026

Enhancing Navigation Efficiency of Quadruped Robots via Leveraging Personal Transportation Platforms

Minsung Yoon, Sung-Eui Yoon

Quadruped robots face limitations in long-range navigation efficiency due to their reliance on legs. To ameliorate the limitations, we introduce a Reinforcement Learning-based Acti…

cs.RO2026

Learning-based Adaptive Control of Quadruped Robots for Active Stabilization on Moving Platforms

Minsung Yoon, Heechan Shin, Jeil Jeong +1

A quadruped robot faces balancing challenges on a six-degrees-of-freedom moving platform, like subways, buses, airplanes, and yachts, due to independent platform motions and result…

cs.RO2026

Uncertainty-Aware Non-Prehensile Manipulation with Mobile Manipulators under Object-Induced Occlusion

Jiwoo Hwang, Taegeun Yang, Jeil Jeong +2

Non-prehensile manipulation using onboard sensing presents a fundamental challenge: the manipulated object occludes the sensor's field of view, creating occluded regions that can l…