Robolab Technologies Pvt. Ltd. | RoboLab Technologies blogs
ROBOLAB ROBOLAB “A perfect platform to explore, learn and build robots” -Advanced state of the art technical research facility within campus -Hands on practical experience along with required theory -Consolidation of concepts -Industry- institute Interaction -Standard guidelines and essentials -Superior quality and Advanced robot study platforms -Training by Industry Experts And last but not the least -Affordable excellence with Quick Return on Investment Robolab is your very own, on campus, centre of Excellence in Robotics and Industrial Automation, tailor made for you. Equipped with all the advanced technologies used in industries, the Robolab offers training courses consistent with the latest curricula and the industry requirements. Thus, functioning as the perfect platform for its users (students as well as teachers) to explore, learn, build and share their ideas. We believe in providing innovative and interactive training by industry experts and deliver the same while establishing the Robolab. This empowers the trainees to manage the Robolab in future. Our planned ROI model ensures the educational as well as financial returns. Having Robolab has its own perks! We have some standard Robolab offerings and we also customize as per the needs of the institute. About Company Robolab Technologies Pvt. Ltd is a venture by graduates from the prestigious College of Engineering, Pune (COEP) in association with the BHAU Institute of Innovation, Entrepreneurship and Leadership (BIEL), the Incubation centre of the College of Engineering Pune[COEP]. Robotics labs for schools in india,Robotics labs for Diploma Colleges in india,Robotics labs for engineering Colleges in india,Robotics labs for colleges in india,a College Of Engineering, Bhau Institute, ,automation and robotics,robotics and automation,automation robotics,robotics automation,robotics & automation,automation robots,automation robotics,automation in robotics,robots and automation,automation and robots,robots in automation,robotics in automation,home robots,home robotics,robots for the home,robots for home,in home robots,learning robotics,lab robotics,learning robots,lab robots,working of robots,college robotics,robotics info,work robots,working of robotics,working in robotics,robots that work,robots learning,training robots,robotics subject,robotics working,lab automation,automation lab,roboti cs,robolab technologies,college from home,mobile education india,robotics workshops training,members of faculty,india private limited,education-india.in,labs in college,the lab training,email id of students,robotics labs india,,robotics lab manual,robotics lab for schools,robotics lab equipment,robotics lab mit,robotics lab setup proposal,robotics lab iit,robotics lab iisc,robotics lab research academy The team Provides services for Robotics Automation laboratories and establishment, trainer kits, laboratory trainer kits, education trainer kits, training equipments, microprocessor embedded trainers, conduct workshops on trending technologies, Industrial Projects. 1.Robotics and Automation Laboratories Establishment 2.Conduct Workshop on Trending technologies 3.Industrial Automation 4.Technical Guidance
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PaperID: A Technique for Drawing Functional Battery-Free Wireless Interfaces on Paper

We describe techniques that allow inexpensive, ultra-thin, battery-free Radio Frequency Identification (RFID) tags to be turned into simple paper input devices. We use sensing and signal processing techniques that determine how a tag is being manipulated by the user via an RFID reader and show how tags may be enhanced with a simple set of conductive traces that can be printed on paper, stencil-traced, or even hand-drawn. These traces modify the behavior of contiguous tags to serve as input devices. Our techniques provide the capability to use off-the-shelf RFID tags to sense touch, cover, overlap of tags by conductive or…

A Hybrid Hydrostatic Transmission and Human Safe Haptic Telepresence Robot

We present a new type of hydrostatic transmission that uses a hybrid air-water configuration, analogous to N+1 cable-tendon transmissions, using N hydraulic lines and 1 pneumatic line for a system with N degrees of freedom (DOFs). The common air-filled line preloads all DOFs in the system, allowing bidirectional operation of every joint. This configuration achieves the high stiffness of a water-filled transmission with half the number of bulky hydraulic lines. We implemented this transmission using pairs of rolling-diaphragm cylinders to form rotary hydraulic actuators, with a new design achieving a 600-percent increase in specific work density per cycle. These actuators…

Untethered One-Legged Hopping in 3D Using Linear Elastic Actuator in Parallel (LEAP)

Current and previous single-legged hopping robots are energetically tethered and lack portability. Here, we present the design and control of an untethered, energetically autonomous single-legged hopping robot. The thrust-producing mechanism of the robot’s leg is an actuated prismatic joint, called a linear elastic actuator in parallel (LEAP). The LEAP mechanism comprises a voice coil actuator in parallel with two compression springs, which gives our robot passive compliance. An actuated gimbal hip joint is realized by two standard servomotors. To control the robot, we adapt Raibert’s hopping controller, and find we can maintain balance roughly in-place for up to approx. 7…

Designing Cable Driven Actuation Networks for Kinematic Chains and Trees

In this paper we present an optimization-based approach for the design of cable-driven kinematic chains and trees. Our system takes as input a hierarchical assembly consisting of rigid links jointed together with hinges. The user also specifies a set of target poses or keyframes using inverse kinematics. Our approach places torsional springs at the joints and computes a cable network that allows us to reproduce the specified target poses. We start with a large set of cables that have randomly chosen routing points and we gradually remove the redundancy. Then we refine the routing points taking into account the path…

Snapbot: A Reconfigurable Legged Robot

We develop a reconfigurable legged robot, named Snapbot, to emulate configuration changes and various styles of legged locomotion. The body of Snapbot houses a microcontroller and a battery for untethered operation. The body also contains connections for communication and power to the modular legs. The legs can be attached to and detached from the body using magnetic mechanical couplings. In the center of this coupling, there is a multi-pin spring-loaded electrical connector that distributes power and transmits data between the controller and leg actuators. The locomotion algorithm is implemented on the microcontroller. The algorithm enables Snapbot to locomote in various…

MetaSilicone: Design and Fabrication of Composite Silicone with Desired Mechanical Properties

We present a method for designing and fabricating MetaSilicones—composite silicone rubbers that exhibit desired macroscopic mechanical properties. The underlying principle of our approach is to inject spherical inclusions of a liquid dopant material into a silicone matrix material. By varying the number, size, and locations of these inclusions as well as their material, a broad range of mechanical properties can be achieved. The technical core of our approach is formed by an optimization algorithm that, combining a simulation model based on extended finite elements (XFEM) and sensitivity analysis, computes inclusion distributions that lead to desired stiffness properties on the macroscopic…

Interacting Intelligent Characters AR

In this paper, we explore interacting with virtual characters in AR along real-world environments. Our vision is that virtual characters will be able to understand the real-world environment and interact in an intelligent and realistic manner with it. For example, a character can walk around un-even stairs and slopes, or be pushed away by collisions with real-world objects like a ball. We describe how to automatically animate a new character, and imbue it’s motion with adaption to environments and reactions to perturbations from the real world.  

Enabling Interactive Infrastructure with Body Channel Communication

Body channel communication (BCC) uses the human body to carry signals, and therefore provides communication and localization that are directly tied to human presence and actions. Previous BCC systems were expensive, could operate only in a laboratory, or only focused on special use cases. We present here an end-to-end BCC system that is designed for ambient intelligence. We introduce the BCC infrastructure that consists of portable devices (e.g., a simple sphere), mobile devices (e.g.,a smartwatch-like wristband), and stationary devices (e.g., floor/wall tiles). We also describe the core technology that is used in each of these units. The TouchCom hardware-software platform…

Wall++: Room-Scale Interactive and Context-Aware Sensing

Human environments are typified by walls – homes, offices, schools, museums, hospitals and pretty much every indoor context one can imagine has walls. In many cases, they make up a majority of readily accessible indoor surface area, and yet they are static – their primary function is to be a wall, separating spaces and hiding infrastructure. We present Wall++, a low-cost sensing approach that allows walls to become a smart infrastructure. Instead of merely separating spaces, walls can now enhance rooms with sensing and interactivity. Our wall treatment and sensing hardware can track users’ touch and gestures, as well as…

Force Jacket: Pneumatically-Actuated Jacket for Embodied

Immersive experiences seek to engage the full sensory system in ways that words, pictures, or touch alone cannot. With respect to the haptic system, however, physical feedback has been provided primarily with handheld tactile experiences or vibration-based designs, largely ignoring both pressure receptors and the full upper-body area as conduits for expressing meaning that is consistent with sight and sound. We extend the potential for immersion along these dimensions with the Force Jacket, a novel array of pneumatically-actuated airbags and force sensors that provide precisely directed force and high frequency vibrations to the upper body. We describe the pneumatic hardware…

Design and Fabrication of a Soft Robotic Hand and Arm System

We present the hardware design and fabrication of a soft arm and hand for physical human-robot interaction. The six DOF arm has two air-filled force sensing modules which passively absorb impact and provide contact force feedback. The arm has an inflated outer cover which encloses the arm’s underlying mechanisms and force sensing modules. An internal projector projects a display on the inside of the cover which is visible from the outside. On the end of the arm is a 3D printed hand with air-filled, force sensing fingertips. We validate the efficacy of the outer cover design by bending the arm…

Stickman: Towards a Human Scale Acrobatic Robot

Human performers have developed impressive acrobatic techniques over thousands of years of practicing the gymnastic arts. At the same time, robots have started to become more mobile and autonomous, and can begin to imitate these stunts in dramatic and informative ways. We present a simple two degree of freedom robot that uses a gravity-driven pendulum launch and produces a variety of somersaulting stunts. The robot uses an IMU and a laser range-finder to estimate its state mid-flight and actuates to change its motion both on and and off the pendulum. We discuss the dynamics of this behavior in a framework…

Automated Deep Reinforcement Learning Environment for Hardware of a Modular Legged Robot

In this paper, we present an automated learning environment for developing control policies directly on the hardware of a modular legged robot. This environment facilitates the reinforcement learning process by computing the rewards using a vision-based tracking system and relocating the robot to the initial position using a resetting mechanism. We employ two state-of-the-art deep reinforcement learning (DRL) algorithms, Trust Region Policy Optimization (TRPO) and Deep Deterministic Policy Gradient (DDPG), to train neural network policies for simple rowing and crawling motions. Using the developed environment, we demonstrate both learning algorithms can effectively learn policies for simple locomotion skills on highly…

Computational Design of Robotic Devices from High-Level Motion Specifications

We present a novel computational approach to designing robotic devices from high-level motion specifications. Our computational system uses a library of modular components— actuators, mounting brackets, and connectors—to define the space of possible robot designs. The process of creating a new robot begins with a set of input trajectories that specify how its end effectors and/or body should move. By searching through the combinatorial set of possible arrangements of modular components, our method generates a functional, as-simple-as possible robotic device that is capable of tracking the input motion trajectories. To significantly improve the efficiency of this discrete optimization process, we…

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