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Guanqi Chen

9 accepted papers

2026

Semantically Structured Mixture-of-Experts for Compositional Robotic Manipulation

RSS 2026poster

Diffusion-based policies have established a new standard for precise robotic manipulation but face a critical scalability bottleneck: high-performance models are computationally expensive, while lightweight alternatives often fail to generalize across diverse multi-task environments. Mixture-of-Expe…

Cited by 0SourceScholar
2025

A Joint Learning of Force Feedback of Robotic Manipulation and Textual Cues for Granular Materials Classification

RA-L 2025

Granular materials (GMs) are formed by a collection of particles. Even if their visual representation is straightforward, it can be seriously affected in the visually constrained environment. Based on frequency features observed in force signals, this paper proposes a non-visual classifier, <bold xm

Cited by 22SourceScholar
2025

Understanding Particles From Video: Property Estimation of Granular Materials via Visuo-Haptic Learning

RA-L 2025

Granular materials (GMs) are ubiquitous in daily life. Understanding their properties is also important, especially in agriculture and industry. However, existing works require dedicated measurement equipment and also need large human efforts to handle a large number of particles. In this paper, we

Cited by 3SourceScholar
2025

VISO-Grasp: Vision-Language Informed Spatial Object-centric 6-DoF Active View Planning and Grasping in Clutter and Invisibility

IROS 2025

We propose VISO-Grasp, a novel vision-language-informed system designed to systematically address visibility constraints for grasping in severely occluded environments. By leveraging Foundation Models (FMs) for spatial reasoning and active view planning, our framework constructs and updates an insta

Cited by 13SourcecodeScholar
2024

Language-Augmented Symbolic Planner for Open-World Task Planning

RSS 2024poster

Enabling robotic agents to perform complex long-horizon tasks has been a long-standing goal in robotics and artificial intelligence (AI). Despite the potential shown by large language models (LLMs), their planning capabilities remain limited to short-horizon tasks and they are unable to replace the…

2022

A Causal Debiasing Framework for Unsupervised Salient Object Detection

AAAI 2022technical

Unsupervised Salient Object Detection (USOD) is a promising yet challenging task that aims to learn a salient object detection model without any ground-truth labels. Self-supervised learning based methods have achieved remarkable success recently and have become the dominant approach in USOD. Howeve…

Cited by 28SourcePDFScholar
2022

ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias

ICML 2022oral

Deep learning models are able to approximate one specific dynamical system but struggle at learning generalisable dynamics, where dynamical systems obey the same laws of physics but contain different numbers of elements (e.g., double- and triple-pendulum systems). To relieve this issue, we proposed…