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Liangliang Zhao

6 accepted papers

2025

Hierarchical Trajectory Planning Method for Piano-Playing Robot

IROS 2025

Piano-playing tasks, which effectively demonstrate bimanual coordination capabilities in humanoid robots, are increasingly becoming a research focus. However, prior research has predominantly focused on Cartesian space trajectory planning without adequately addressing real-world obstacle avoidance c

Cited by 0SourceScholar
2024

Model Design and Concept of Operations of Standard Interface for On-orbit Construction

ICRA 2024poster

The construction of large-scale space facilities requires the use of on-orbit construction technology. However, several of its key components, such as standard interface design, compliant control methods, and path planning for multi-branch robots, still need improvement before practical application.…

Cited by 1SourceScholar
2024

Neural Residual Diffusion Models for Deep Scalable Vision Generation

NeurIPS 2024poster

The most advanced diffusion models have recently adopted increasingly deep stacked networks (e.g., U-Net or Transformer) to promote the generative emergence capabilities of vision generation models similar to large language models (LLMs). However, progressively deeper stacked networks will intuitive…

Cited by 5SourcePDFScholar
2024

Transformer-Enhanced Motion Planner: Attention-Guided Sampling for State-Specific Decision Making

RA-L 2024

Sampling-based motion planning (SBMP) algorithms are renowned for their robust global search capabilities. However, the inherent randomness in their sampling mechanisms often results in inconsistent path quality and limited search efficiency. In response to these challenges, this work proposes a nov

Cited by 5SourceScholar
2022

Solving the Real-Time Motion Planning Problem for Non-Holonomic Robots With Collision Avoidance in Dynamic Scenes

RA-L 2022

Collision-free motion planning allows robots to perform tasks in complex environments, but the conservative bounding curves during collision detection will reduce the robot's dexterity. This paper presents a novel algorithm for real-time motion planning of non-holonomic robots in dynamic scenes. To

Cited by 4SourceScholar