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Longfei Zhao

5 accepted papers

2023

A Unified Trajectory Generation Algorithm for Dynamic Dexterous Manipulation

IROS 2023poster

This paper proposes a novel efficient multi-phase trajectory generation algorithm for dynamic dexterous manipulation tasks, such as throwing, catching, dynamic regrasping, and dynamic handover, which can be decomposed into multiple manipulation primitives, including sticking, rolling, approaching, s…

Cited by 1SourceScholar
2023

Differential Dynamic Programming based Hybrid Manipulation Strategy for Dynamic Grasping

ICRA 2023poster

To fully explore the potential of robots for dexterous manipulation, this paper presents a whole dynamic grasping process to achieve fluent grasping of a target object by the robot end-effector. The process starts from the phase of approaching the object over the phases of colliding with the object…

Cited by 7SourceScholar
2023

Modeling the Bio-Inspired Wing-Tail Interaction Mechanism and Applying It in Flapping Wing Aircraft Pitch Control

RA-L 2023

Birds produce tail control torques to maintain their attitude by unfolding their tails in the wing induced flow at hover. This mechanism is termed as wing-tail interaction. This study aims to apply this mechanism to the pitch control of a flapping wing aircraft. Momentum theory is adapted to analyti

Cited by 16SourceScholar
2022

Optimal Nonprehensile Interception Strategy for Objects in Flight

IROS 2022poster

Intercepting an object in flight through nonpre-hensile manipulation is a challenging problem, which is aimed at catching and stopping a flying object using little contacts without completely restraining its relative motion to the robot. This paper presents a two-stage optimal trajectory generation…

Cited by 3SourceScholar
2022

TOPP-MPC-Based Dual-Arm Dynamic Collaborative Manipulation for Multi-Object Nonprehensile Transportation

ICRA 2022poster

This paper presents a unified controller for dual-arm robot dynamic multi-object nonprehensile transportation. The controller is composed of time-optimal path parameteri-zation (TOPP) and model predictive control (MPC) and aimed at efficiently and dynamically transporting objects using the dual-arm…

Cited by 10SourceScholar