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Alessandro Palleschi

10 accepted papers

2022

High-Level Planning for Object Manipulation With Multi Heterogeneous Robots in Shared Environments

RA-L 2022

Multi-robot systems are becoming increasingly popular in warehouses and factories, since they potentially enable the development of more versatile and robust systems than single robots. Multiple robots allow performing complex tasks with greater efficiency. However, this leads to increased complexit

Cited by 7SourceScholar
2021

Fast and Safe Trajectory Planning: Solving the Cobot Performance/Safety Trade-Off in Human-Robot Shared Environments

RA-L 2021

The rise of collaborative robotics has offered new opportunities for integrating automation into the factories, allowing robots and humans to work side-by-side. However, this close physical coexistence inevitably brings new constraints for ensuring safe human-robot cooperation. The current paramount

Cited by 66SourceScholar
2021

Force-based Formation Control of Omnidirectional Ground Vehicles

IROS 2021poster

Formation control of multi-robot systems has been largely studied due to its wide application domain. Several methods in the literature rely on explicit communication among the robots, which in realistic scenarios may lead to reduced performance or even instability due to delays and packet loss or c…

Cited by 1SourceScholar
2021

Priority-Based Distributed Coordination for Heterogeneous Multi-Robot Systems With Realistic Assumptions

RA-L 2021

A standing challenge in current intralogistics is to reliably, effectively, yet safely coordinate large-scale, heterogeneous multi-robot fleets without posing constraints on the infrastructure or unrealistic assumptions on robots. A centralized approach, proposed by some of the authors in prior work

Cited by 9SourceScholar
2020

Grasp It Like a Pro: Grasp of Unknown Objects With Robotic Hands Based on Skilled Human Expertise

RA-L 2020

This work proposes a method to grasp unknown objects with robotic hands based on demonstrations by a skilled human operator. Not only are humans efficacious at grasping with their own hands but are also capable of grasping objects using robotic hands. Therefore, we consider how the grasping skills o

Cited by 39SourceScholar
2020

Time-Optimal Trajectory Planning for Flexible Joint Robots

RA-L 2020

In this letter, a new approach is proposed to optimally plan the motion along a parametrized path for flexible joint robots, i.e., robots whose structure is purposefully provided with compliant elements. State-of-the-art methods efficiently solve the problem in case of torque-controlled rigid robots

Cited by 26SourceScholar
2020

Trajectory Tracking of a One-Link Flexible Arm via Iterative Learning Control

IROS 2020poster

Trajectory tracking of flexible link robots is a classical control problem. Historically, the link elasticity was considered as something to be removed. Hence, the control performance was guaranteed by adopting high-gain feedback loops and, possibly, a dynamic compensation with the result to stiffen…

Cited by 10SourceScholar
2019

Dynamic Whole-Body Control of Unstable Wheeled Humanoid Robots

RA-L 2019

Control of two-wheeled humanoid robots poses several challenges due to the unstable dynamics of their mobile base and the coupling between the upper and lower body dynamics. The problem is often faced in the literature with methods based on the linearized or simplified models that fail in exploiting

Cited by 48SourceScholar
2019

Towards an Autonomous Unwrapping System for Intralogistics

RA-L 2019

Warehouse logistics is a rapidly growing market for robots. However, one key procedure that has not received much attention is the unwrapping of pallets to prepare them for objects picking. In fact, to prevent the goods from falling and to protect them, pallets are normally wrapped in plastic when t

Cited by 5SourceScholar