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Robotic manipulation can greatly benefit from the data efficiency, robustness, and predictability of model-based methods if robots can quickly generate models of novel objects they encounter. This is especially difficult when effects like…

机器人学 · 计算机科学 2023-10-19 Bibit Bianchini , Mathew Halm , Michael Posa

This paper proposes a controller for stable grasping of unknown-shaped objects by two robotic fingers with tactile fingertips. The grasp is stabilised by rolling the fingertips on the contact surface and applying a desired grasping force to…

机器人学 · 计算机科学 2021-07-05 Efi Psomopoulou , Nicholas Pestell , Fotios Papadopoulos , John Lloyd , Zoe Doulgeri , Nathan F. Lepora

In this work, a new SMS is proposed to achieve high tracking and suitable robustness. However, the chattering phenomenon should be regarded as the main drawback of the SMC. Therefore, a new compound control algorithm is used for reducing…

系统与控制 · 电气工程与系统科学 2020-12-15 Mehran Rahmani , Asif Al Zubayer Swapnil

For mobile robots, navigating cluttered or dynamic environments often necessitates non-prehensile manipulation, particularly when faced with objects that are too large, irregular, or fragile to grasp. The unpredictable behavior and varying…

机器人学 · 计算机科学 2024-03-15 Idil Ozdamar , Doganay Sirintuna , Robin Arbaud , Arash Ajoudani

Due to the several applications on Human-machine interaction (HMI), this area of research has become one of the most popular in recent years. This is the case for instance of advanced training machines, robots for rehabilitation, robotic…

机器人学 · 计算机科学 2020-06-03 Humberto De las Casas , Hanz Richter

A common sensing problem is to use a set of stationary tracking locations to monitor a collection of moving devices: Given $n$ objects that need to be tracked, each following its own trajectory, and $m$ stationary traffic control stations,…

计算几何 · 计算机科学 2026-03-06 Chek-Manh Loi , Michael Perk , Malte Hoffmann , Sándor Fekete

This paper proposes a framework for generating fast, smooth and predictable braking manoeuvers for a controlled robot. The proposed framework integrates two approaches to obtain feasible modal limits for designing braking trajectories. The…

This paper considers real-time control and learning problems for finite-dimensional linear systems under binary-valued and randomly disturbed output observations. This has long been regarded as an open problem because the exact values of…

系统与控制 · 电气工程与系统科学 2024-11-12 Lantian Zhang , Lei Guo

Achieving precise and efficient trajectory tracking in robotic arms remains a key challenge due to system uncertainties and chattering effects in conventional sliding mode control (SMC). This paper presents a chattering-free fast terminal…

系统与控制 · 电气工程与系统科学 2025-11-17 Momammad Ali Ranjbar

This paper proposes a novel control approach composed of sinusoidal reference trajectories and trajectory tracking controller for the second-order chained form system. The system is well-known as a canonical form for a class of second-order…

系统与控制 · 电气工程与系统科学 2024-10-28 Mayu Nakayama , Masahide Ito

Collaborative robots and space manipulators contain significant joint flexibility. It complicates the control design, compromises the control bandwidth, and limits the tracking accuracy. The imprecise knowledge of the flexible joint…

机器人学 · 计算机科学 2020-03-12 Shuyang Chen , John Wen

We describe a framework for changing-contact robot manipulation tasks that require the robot to make and break contacts with objects and surfaces. The discontinuous interaction dynamics of such tasks make it difficult to construct and use a…

机器人学 · 计算机科学 2021-11-16 Saif Sidhik , Mohan Sridharan , Dirk Ruiken

The ability to achieve precise and smooth trajectory tracking is crucial for ensuring the successful execution of various tasks involving robotic manipulators. State-of-the-art techniques require accurate mathematical models of the robot…

机器人学 · 计算机科学 2024-06-21 Mohamed Abdelwahab , Giulio Giacomuzzo , Alberto Dalla Libera , Ruggero Carli

In this paper we address the multi-agent collaborative object transportation problem in a partially known environment with obstacles under a specified goal condition. We propose a leader follower approach for two mobile manipulators…

机器人学 · 计算机科学 2023-05-03 Sumanta Ghosh , Subhajit Nath , Sarvesh Sortee , Lokesh Kumar , Titas Bera

This paper presents a novel nonlinear disturbance rejection control for hydraulic robots. This method requires two third-order filters as well as inverse dynamics in order to estimate the disturbances. All the parameters for the third-order…

机器人学 · 计算机科学 2020-05-05 Peng Lu , Timothy Sandy , Jonas Buchli

Mobile robotic applications need precise information about the geometric position of the individual sensors on the platform. This information is given by the extrinsic calibration parameters which define how the sensor is rotated and…

机器人学 · 计算机科学 2022-07-11 Philipp Glira , Christoph Weidinger , Johann Weichselbaum

Safety concerns during the operation of legged robots must be addressed to enable their widespread use. Machine learning-based control methods that use model-based constraints provide promising means to improve robot safety. This study…

机器人学 · 计算机科学 2023-03-07 Berk Tosun , Evren Samur

Precise motion control of underactuated surface vessels is a crucial task in various maritime applications. In this work, we develop a nonlinear motion control strategy for surface vessels inspired by the pursuit guidance philosophy. Any…

系统与控制 · 电气工程与系统科学 2026-03-03 Ram Milan Kumar Verma , Shashi Ranjan Kumar , Hemendra Arya

Trajectory tracking for an Omni-drive robot presents a challenging task that demands an efficient controller design. This paper introduces a self-optimizing controller, Type-1 fuzzyPID, which leverages dynamic and static system response…

机器人学 · 计算机科学 2024-11-11 Love Panta

The precise motion control of a multi-degree of freedom~(DOF) robot manipulator is always challenging due to its nonlinear dynamics, disturbances, and uncertainties. Because most manipulators are controlled by digital signals, a novel…

机器人学 · 计算机科学 2021-02-09 Zhian Kuang , Xiang Zhang , Liting Sun , Huijun Gao , Masayoshi Tomizuka