Discover Robotics

Abstract Accurate prediction of interaction forces in robotic manipulators is critical for safe human-robot collaboration and precise manipulation. Multi-disk continuum robot arms present unique modelling challenges owing to high degrees of freedom, complex mechanical coupling, and non-linear force transmission. This study presents a investigation of eight regression algorithms Linear Regression,…

This paper develops a Levinasian framework for addressing the challenge of human-centric discourse struggling to articulate responsibility and justice for hybrid human–robot assemblages. Against suggestions to adopt an ethical pluralism that balances multiple principles and perspectives, I argue that Levinas’s notion of infinite, asymmetrical responsibility to the Other offers a more productive l…

This paper explores non-invasive use of surface electromyographic (sEMG) signals from a human arm for controlling various devices. In recent years, numerous studies have explored sEMG-based gesture recognition for prosthetic and robotic applications. Gesture sets are often limited to a small number of movements, restricting the range of control. Furthermore, the translation of offline classificat…

This narrative study explores the technological incorporation of AI into upper-limb prosthetics, focusing on the move from classical myoelectric control to autonomous sensor-fused architectures. The study’s goal is to combine the most recent technology developments in machine learning, edge computing, and energy management to create a path to the “technological frontier” of bionic rehabilitation.…

Accurate Cartesian positioning in industrial robots remains challenging under drift, friction, and regime changes. This paper presents an uncertainty-aware, two-stage compensation pipeline for a four-degree-of-freedom (4-DOF) serial robot using only joint telemetry. Stage I combines a long short-term memory (LSTM) point predictor with an auxiliary network that learns per-axis prediction intervals…

To address the inherent nonlinear response and the complexity of structural and material parameters that hinder the customization of fiber-reinforced soft actuators (FRSAs), this study proposes a robust data-driven method for accurately predicting their bending deformation. The approach creatively integrates finite element analysis (FEA) models, multiple advanced machine learning algorithms, and …

India’s construction sector, vital to the economy with an 8% GDP contribution, lags in drone adoption, with only 30% of firms utilizing drones compared to 60% in developed markets, constrained by fragmented supply chains, high costs, and limited technological readiness. This study employs ordinal logistic regression on a survey of 62 construction professionals, purposively sampled from March to M…

To maximize agricultural operations and ensure increased productivity, sustainability, and efficiency, precision agriculture makes use of innovative technologies. This review article examines the incorporation of artificial intelligence, machine learning, automation, cloud computing, and Internet of Things sensors as they relate to agrarian engineering. IoT sensors are essential to the collection…

This paper introduces a model-free trajectory tracking control framework for a 5-degree-of-freedom (DOF) Mitsubishi RV-2AJ robotic arm, using the deep deterministic policy gradient (DDPG) algorithm. Unlike traditional control methods that depend on precise dynamic models, the proposed approach utilizes DDPG's actor-critic architecture to learn optimal control policies through continuous interacti…

In the realm of multi-agent systems (MAS), communication delays emerge as a pivotal challenge, hindering efficient information exchange and synchronization among agents. This research proposes a novel framework leveraging quantum mechanics to address these delays and revolutionize agent interaction dynamics. The study investigates the application of quantum telecommunication and quantum computing…

This study is focused on the advanced mathematical modeling and control strategies for a Mitsubishi RV-2AJ 5-DOF Robotic Arm, with an emphasis on achieving precision in trajectory tracking. Robotic trajectory tracking has long been challenged by the constraints of conventional modeling techniques and control methods. Prior contributions have been limited by the use of traditional dynamic models a…