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Jiangran Lyu

7 accepted papers

2026

Emerging Extrinsic Dexterity in Cluttered Scenes via Dynamics-aware Policy Learning

RSS 2026poster

Extrinsic dexterity leverages environmental contact to overcome the limitations of prehensile manipulation. However, achieving such dexterity in cluttered scenes remains challenging and underexplored, as it requires selectively exploiting contact among multiple interacting objects with inherently co…

Cited by 0SourceScholar
2026

LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion

RSS 2026poster

Recent robot foundation models largely rely on large-scale behavior cloning, which imitates expert actions but discards transferable dynamics knowledge embedded in heterogeneous embodied data. While the Unified World Model (UWM) formulation has the potential to leverage such diverse data, existing i…

Cited by 0SourceScholar
2025

DyWA: Dynamics-adaptive World Action Model for Generalizable Non-prehensile Manipulation

ICCV 2025poster

Non-prehensile manipulation is crucial for handling objects that are too thin, large, or otherwise ungraspable in unstructured environments. While conventional planning-based approaches struggle with complex contact modeling, learning-based methods have recently emerged as a promising alternative. H…

Cited by 0SourcePDFScholar
2025

RoboHanger: Learning Generalizable Robotic Hanger Insertion for Diverse Garments

RA-L 2025

For the task of hanging clothes, learning how to insert a hanger into a garment is a crucial step, but has rarely been explored in robotics. In this work, we address the problem of inserting a hanger into various unseen garments that are initially laid flat on a table. This task is challenging due t

Cited by 5SourceScholar
2025

RoboVerse: A Unified Platform, Benchmark and Dataset for Scalable and Generalizable Robot Learning

RSS 2025poster

Data scaling and standardized evaluation benchmarks have driven remarkable advances in natural language processing and computer vision. However, in robotics, scaling up data and establishing evaluation protocols pose significant challenges. Directly collecting real-world data is inefficient and reso…

Cited by 0PDFScholar
2024

ScissorBot: Learning Generalizable Scissor Skill for Paper Cutting via Simulation, Imitation, and Sim2Real

CoRL 2024poster

This paper tackles the challenging robotic task of generalizable paper cutting using scissors. In this task, scissors attached to a robot arm are driven to accurately cut curves drawn on the paper, which is hung with the top edge fixed. Due to the frequent paper-scissor contact and consequent frac…

Cited by 5SourceScholar