Jianzhuang Zhao

Jianzhuang Zhao
Istituto Italiano di Tecnologia | IIT

Master of Engineering

About

6
Publications
672
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
8
Citations
Citations since 2017
6 Research Items
8 Citations
201720182019202020212022202301234567
201720182019202020212022202301234567
201720182019202020212022202301234567
201720182019202020212022202301234567

Publications

Publications (6)
Article
Full-text available
Robots are expanding from industrial applications to daily life, in areas such as medical robotics, rehabilitative robotics, social robotics, and mobile/aerial robotics systems. In recent years, augmented reality (AR) has been integrated into many robotic applications, including medical, industrial, human–robot interactions, and collaboration scena...
Article
To meet the demands in terms of energy-efficient and fast production and delivery of goods, robotic fleets began to populate warehouses and industrial environments. To maximize the profitability of the operations, multi-robot systems are required to coordinate agents and avoid downtime efficiently. In this paper, agent coordination is formulated as...
Preprint
Full-text available
This paper proposes a hybrid optimization and learning method for impact-friendly catching objects at non-zero velocity. Through a constrained Quadratic Programming problem, the method generates optimal trajectories up to the contact point between the robot and the object to minimize their relative velocity and reduce the initial impact forces. Nex...
Article
Full-text available
This letter proposes a hybrid learning and optimization framework for mobile manipulators for complex and physically interactive tasks. The framework exploits an admittance-type physical interface to obtain intuitive and simplified human demonstrations and Gaussian Mixture Model (GMM)/Gaussian Mixture Regression (GMR) to encode and generate the lea...
Preprint
Full-text available
This paper proposes a hybrid learning and optimization framework for mobile manipulators for complex and physically interactive tasks. The framework exploits the MOCA-MAN interface to obtain intuitive and simplified human demonstrations and Gaussian Mixture Model/Gaussian Mixture Regression to encode and generate the learned task requirements in te...
Chapter
Aiming to improve the performances and reduce the manufacturing cost of the current legs for quadruped robots, this paper presents a novel 3 DOF serial-parallel hybrid leg. We design a prototype 3D model and give the analytical expressions of inverse and forward kinematics. End-effector workspace is computed using the numerical forward kinematics....

Network

Cited By