This paper studies the problem of image-based leader-follower formation control for mobile robots, where the controller is designed independently of the leader's motion. An adaptive control scheme, which is suitab...
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This paper studies the problem of image-based leader-follower formation control for mobile robots, where the controller is designed independently of the leader's motion. An adaptive control scheme, which is suitable for both omnidirectional and perspective cameras, is proposed. The proposed approach avoids the need for accurate calibration of the extrinsic parameters of the omnidirectional camera as well as the intrinsic and extrinsic parameters of perspective camera. Additionally, the coefficients of the plane where the feature point moves relative to the camera frame can be uncertain. These uncertain constant parameters are estimated using an adaptive estimator. Uniform Semi-global Practical Asymptotic Stability (USPAS) of the system is shown using the Lyapunov approach. Experimental results are presented to demonstrate the effectiveness of the proposed control scheme.
In this paper, we present a model set for designing human-robot collaboration (HRC) experiments. It targets a common scenario in HRC, which is the collaborative assembly of furniture, and it consists of a combination ...
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This paper introduces novel methods for a humanoid robot's online balance monitoring, as well as for the tuning of its impedance parameters, based on Time-Varying Lyapunov Stability Margins (TVLSMs). It distinguis...
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ISBN:
(纸本)9781538646793
This paper introduces novel methods for a humanoid robot's online balance monitoring, as well as for the tuning of its impedance parameters, based on Time-Varying Lyapunov Stability Margins (TVLSMs). It distinguishes itself from previous works by considering TVLSMs whose values evolve in real-time, in accordance with the references supplied to a trajectory tracking controller, as opposed to the previously-considered static LSMs that revolve around the use of set-point regulators. As a result, an analytical relationship between the system's energy and its Centre-of-Pressure (CoP) is derived, providing a means of predicting the robot's balancing behaviour based on the evolution of the closed-loop system's actual and critical, energy values. An appropriate manipulation of this expression facilitates a real-time tuning of the active stiffness gains, which may be viewed as a process of constraining the robot's energy to residing within a `safe region' of operation. Walking experiments performed using the COmpliant huMANoid (COMAN), reveal the proposed technique's accuracy in terms of predicting stable states, in addition to its capability of enabling an automated real-time tuning of a robot's impedance levels. The proposed strategy has permitted the stable replication of a wide range of joint impedance values, which is imperative for ground interaction during walking.
The subject of the article is a simulation of heat affected components of a device for deep drawing by extreme conditions in vacuum by high temperatures required for forming of crystallization containers made from thi...
The subject of the article is a simulation of heat affected components of a device for deep drawing by extreme conditions in vacuum by high temperatures required for forming of crystallization containers made from thin molybdenum sheets. The simulation is focused on the distribution of heat in particular components in relation with their shape. There are presented the design of working components and the boundary conditions of transient thermal simulations with the results.
Posts are permanent, single-tooth and periodontal restorations. During chewing, forces make teeth with posts to undergo complex stresses. The aim of this work is to compare and estimate the upper medial incisors resto...
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The layer-wise deposition of Additive Manufacturing (AM) processes allows for significant freedom in the design of product geometry;however, the use of 3-axis deposition tools results in layer interfaces that reduce m...
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The purpose of this paper is to analyze the influence of the temperature in case of dry turning of an titanium alloy - Ti6Al4V. The measured temperature in turning process was compared with the temperature obtained af...
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The purpose of this paper is to analyze the influence of the temperature in case of dry turning of an titanium alloy - Ti6Al4V. The measured temperature in turning process was compared with the temperature obtained after the simulation using DEFORM 2D software.
Incremental progress in humanoid robot locomotion over the years has achieved important capabilities such as navigation over flat or uneven terrain, stepping over small obstacles and climbing stairs. However, the loco...
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ISBN:
(纸本)9781538635193
Incremental progress in humanoid robot locomotion over the years has achieved important capabilities such as navigation over flat or uneven terrain, stepping over small obstacles and climbing stairs. However, the locomotion research has mostly been limited to using only bipedal gait and only foot contacts with the environment, using the upper body for balancing without considering additional external contacts. As a result, challenging locomotion tasks like climbing over large obstacles relative to the size of the robot have remained unsolved. In this paper, we address this class of open problems with an approach based on multi-body contact motion planning guided through physical human demonstrations. Our goal is to make the humanoid locomotion problem more tractable by taking advantage of objects in the surrounding environment instead of avoiding them. We propose a multi-contact motion planning algorithm for humanoid robot locomotion which exploits the whole-body motion and multi-body contacts including both the upper and lower body limbs. The proposed motion planning algorithm is applied to a challenging task of climbing over a large obstacle. We demonstrate successful execution of the climbing task in simulation using our multi-contact motion planning algorithm initialized via a transfer from real-world human demonstrations of the task and further optimized.
A novel skill learning approach is proposed that allows a robot to acquire human-like visuospatial skills for object manipulation tasks. Visuospatial skills are attained by observing spatial relationships among object...
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In this paper, we solve the leader-following consensus problem using nearly cyclic pursuit (NCP) and a two-layer hierarchical nearly cyclic pursuit (HNCP). First, we design a control strategy based on the nearly cycli...
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