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Guodong Lu

20 accepted papers

2026

Design of an Active Morphable Pneumatic Bilayer Planar Actuator Inspired by Starfish

RA-L 2026

Inspired by the starfish's active deformation to stably adhere to surfaces of different shapes, this paper designs an Active Pneumatic Bilayer Planar Actuator (A-PBPA) for surface morphing. The innovation is threefold: firstly, by replacing the fixed connecting rods between top and bottom layers in

Cited by 0SourceScholar
2026

Diffusion-Based mmWave Radar Point Cloud Enhancement Driven by Range Images

RA-L 2026

Millimeter-wave (mmWave) radar has attracted significant attention in robotics and autonomous driving due to its robustness in harsh environments. However, the radar point clouds are typically sparse and noisy, which limits its futher development. Traditional mmWave radar enhancement approaches ofte

Cited by 6SourceScholar
2026

Quantum Machine Learning and Grover’s Algorithm for Quantum Optimization of Robotic Manipulators

ICRA 2026poster

Optimizing high-degree-of-freedom robotic manipulators requires searching complex, high-dimensional configuration spaces, a task that is computationally challenging for classical methods. This paper introduces a quantum-native framework that integrates Quantum Machine Learning (QML) with Grover's al…

2025

CapsuleBot: A Novel Hybrid Aerial-Ground Bi-Copter Robot With Two Actuated-Wheel-Rotors

RA-L 2025

This paper presents the design, modeling, and experimental validation of CapsuleBot, a novel hybrid aerial-ground bi-copter robot designed for long-endurance and low-noise operations. CapsuleBot combines the maneuverability of a bi-copter in the air with the low power consumption and low noise of a

Cited by 10SourceScholar
2025

Jury-and-Judge Chain-of-Thought for Uncovering Toxic Data in 3D Visual Grounding

NeurIPS 2025poster

3D Visual Grounding (3DVG) faces persistent challenges due to coarse scene-level observations and logically inconsistent annotations, which introduce ambiguities that compromise data quality and hinder effective model supervision. To address these challenges, we introduce Refer-Judge, a novel framew…

Cited by 0SourcecodeScholar
2025

Quantum Machine Learning and Grover's Algorithm for Quantum Optimization of Robotic Manipulators

RA-L 2025

Optimizing high-degree-of-freedom robotic manipulators requires searching complex, high-dimensional configuration spaces, a task that is computationally challenging for classical methods. This paper introduces a quantum-native framework that integrates Quantum Machine Learning (QML) with Grover's al

Cited by 0SourceScholar
2025

Tailless Flapping-Wing Robot With Bio-Inspired Elastic Passive Legs for Multi-Modal Locomotion

RA-L 2025

Flapping-wing robots offer significant versatility; however, achieving efficient multi-modal locomotion remains challenging. This paper presents the design, modeling, and experimentation of a novel tailless flapping-wing robot with three independently actuated pairs of wings. Inspired by the leg mor

Cited by 4SourceScholar
2024

Construction of a Multiple-DOF Underactuated Gripper with Force-Sensing via Deep Learning

RSS 2024poster

Under-actuated robotic grippers, regarded as critical components of robotic grasping, have attracted considerable attention. However, existing under-actuated grippers emerge with several primary issues, including low payload, insufficient force sensing, small grasping force, weak grasping stability…

Cited by 0SourcePDFScholar
2024

Design and Shape Control of Robotic Morphing Interface With Reprogrammable Stiffness Based on Machine Learning

RA-L 2024

Deformable organisms in nature inspire the design of shape-shifting robots, including soft robots, bionic robots and physical human-robot interfaces. However, to achieve multi-objective shape imitation and multi-form transformation, shape-shifting robots often require complex actuation systems, cont

Cited by 2SourceScholar
2024

MBRVO: A Blur Robust Visual Odometry Based on Motion Blurred Artifact Prior

RA-L 2024

How to estimate camera pose from motion-blurred images remains a challenge for visual odometry. The blurring artifacts are inevitably caused by the exposure during camera motion. While current visual odometry regards them as noise, we argue that it is necessary to extract potential information from

Cited by 3SourceScholar
2024

Multistable Soft Actuator for Physical Human-robot Interaction

IROS 2024poster

Collaboration with robots through physical contact offers a more intuitive, natural, and engaging operational experience, showcasing vast potential in the field of human-robot interaction. However, current physical interaction devices, such as collaborative robots and haptic feedback mechanisms, are…

Cited by 0SourceScholar
2024

Under-actuated Robotic Gripper with Multiple Grasping Modes Inspired by Human Finger

IROS 2024poster

Under-actuated robot grippers, as a pervasive tool of robots, have become a considerable research focus. Despite their simplicity of mechanical design and control strategy, they suffer from poor versatility and weak adaptability, making widespread applications limited. To better address relevant res…

Cited by 2SourceScholar
2023

Roller-Quadrotor: A Novel Hybrid Terrestrial/Aerial Quadrotor with Unicycle-Driven and Rotor-Assisted Turning

IROS 2023poster

The Roller-Quadrotor is a novel quadrotor that combines the maneuverability of aerial drones with the endurance of ground vehicles. This work focuses on the design, modeling, and experimental validation of the Roller-Quadrotor. Flight capabilities are achieved through a quadrotor config-uration, wit…

Cited by 5SourceScholar
2023

Shape-Changing Robotic Mannequin Shoulder With Bio-Inspired Layered Structure

RA-L 2023

Shape-changing robotic mannequin is a humanoid robot for imitating shapes of human bodies. The diversity of human bodies makes it difficult to imitate various body shapes, especially the shoulders. This paper proposes a rigid-flexible-soft coupling three-layered robotic mannequin shoulder inspired b

Cited by 1SourceScholar
2022

Incrementally Stochastic and Accelerated Gradient Information Mixed Optimization for Manipulator Motion Planning

RA-L 2022

This paper introduces a novel motion planner, incrementally stochastic and accelerated gradient information mixed optimization (iSAGO), for robotic manipulators in a narrow workspace. Primarily, we propose the overall scheme of iSAGO informed by the mixed momenta for an efficient constrained optimiz

Cited by 7SourceScholar