Aamodh Suresh
PhD Candidate at University of California, San Diego - Jacobs School of Engineering
PhD Candidate at University of California, San Diego - Jacobs School of Engineering
University of California, San Diego - Jacobs School of Engineering
https://www.linkedin.com/company/uc-san-diego
I am working towards my PhD in mechanical engineering with a focus on developing human-aware planning, learning and control algorithms inspired from behavioral decision making. I work in the intersection of control theory, behavioral economics, cognitive science, path planning, machine learning and optimization.
San Diego, California, United States
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PhD Candidate
MURO Lab, UCSD
I have been co-managing a academic robotics laboratory and leading practical robotics projects along with mentoring undergraduate (around 20) and masters (2) students .  I have been leading teams of undergraduate students to design and develop UAV, UGV and HRI platforms inbuilt with cutting edge localization, mapping, planning and control algorithms. Additionally, I supervised a Master's thesis on Collision-free Task Assignment and Trajectory Planning for Multi-robot Systems.
San Diego, California, United States
Lab lead and Student Mentor
U.S. Army DEVCOM Army Research Laboratory
https://www.linkedin.com/company/armyresearchlab
Overall goal was to design a collaborative robotic exploration pipeline. First, I designed a novel path planner to perform robotic exploration. This planner uses RRT* based informative planning pipeline to plan paths in areas with uncertain risks and rewards catered to a specific risk perception profile. Next, I developed a novel information gain metric based on perceived uncertainty and integrated it with frontier-based exploration algorithms. The whole exploration pipeline was implemented on a ROS-Unity simulation environment using a Clearpath Husky Robot model to explore an unknown and uncertain indoor environment. This work will help create algorithms that can leverage rational and non-rational perception of uncertainty, risk and rewards to make better human-aware and risk-aware plans during exploration.
Adelphi, Maryland, United States
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Summer Researcher
UC San Diego
https://www.linkedin.com/company/ucsandiego
TA for undergraduate senior class MAE 145 - Robotic Planning & Estimation. 
I was the only TA, managing a class of 50 students and my main duties included : 
1. Prepared material and taught a weekly discussion class to aid students' practical understanding. 
2. Conduct office hours and monitor discussions in online forums.
3. Create solutions for the assignments and exams set by the professor.
4. Grading exams.
5. Taught 2 classes as a substitute for the professor.
San Diego, California, United States
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Teaching Assistant
NeuroTechX
https://www.linkedin.com/company/neurotechx
Greater Boston Area
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Co-organizer at NeuroTechX Boston Chapter
Boston University
https://www.linkedin.com/company/boston-university
Development of an Electroencephalogram (EEG) based Brain Computer Interface to control a swarm of mobile robots. Setting up of a wireless Zigbee network for decentralized communication and processing among robotic agents.
Greater Boston Area
https://media-exp1.licdn.com/dms/image/C560BAQFBK74krMig1Q/company-logo_100_100/0/1519855919160?e=1655942400&v=beta&t=Ehrh1pxAqyC5JUow0KIVqbgRK7tzi0JTmKv8DXjxgEQ
Graduate Research Assistant
Ege University
https://www.linkedin.com/company/ege-university
Research in ionic polymer metal composite(IPMC) for applications in Bio- mimetic actuators. Development of image processing algorithms using MATLAB for control and feedback of micro robots.
Izmir, Turkey
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Research Internship
Cotmac Electronics Inc.
https://www.linkedin.com/company/cotmac-electronics-inc-
Learnt PLC programming with SIEMENS PLCs, assembling control panels and used it for developing a Human Machine Interface(HMI) for an automated car parking system project.
Pune Area, India
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Engineering Intern
QProtech Industries
Received training in the practical aspects of various conventional and non conventional machining processes, heat treatment, surface treatment and industrial management.
Bengaluru Area, India
Engineering Intern
Doctor of Philosophy (PhD)
Mechanical Engineering
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University of California, San Diego
https://www.linkedin.com/school/ucsandiego/
Master of Science (MS)
Research Assistantship at Multi-Robot Systems Laboratory (MSL) : Development of Brain Computer Interface to Control Swarm of Robots  and mesh networking with zigbees for inter robot communication.
Graduate Student Mentor for UAV Team : development of kinect controlled quadcopter, EMG controlled quadcopter
Mechanical Engineering
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Boston University
https://www.linkedin.com/school/boston-university/
Bachelor of Technology (B.Tech.)
Mechanical Engineering
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National Institute of Technology Karnataka
https://www.linkedin.com/school/nitk-surathkal/
BU Unmanned Aerial Vehicles (UAV) Team
Graduate Student Mentor
Multi-Robot Systems Laboratory
Research Assistantship
International Association for Exchange of Students for Technical Eduction (IAESTE)
Summer Exchange Student
Cooperative control of Multi-agent systems
MAE 247
Haptic Interfaces
MAE 207
Human robot interaction
CSE 291
Robot Motion Planning
MAE 242
Dynamic Systems Theory
ME501
Linear Algebra and Complex Analysis
EK501
Manufacturing Strategy
ME584
Networking in the Physical World
EC544
Non Linear Systems and Control
ME762
Vision,Robotics and Planning
ME740
We are designing user studies to understand humans perceive risk and explore how robots can plan human-like paths in risky scenarios so that they are more socially acceptable in human-centered environments.
Towards improved Human-Aware navigation algorithms for Robots
We are designing controllers which guarantee safety considering non-rational perception of risk using tools from control theory, optimization, behavioral economics and online learning.
Safe control design for autonomous systems incorporating non-rational risk perception
We designed risk-perception-aware motion-planning strategies that incorporate non-rational perception of risks associated with uncertain spatial costs.
Risk-Perception-Aware motion planning for autonomous robots
Here we developed a novel Human-Swarm Interaction (HSI) framework for formation control using the notion of an interpreter, enabling the user to control a robotic swarm's shape and formation using abstraction.
Intuitive formation control of distributed agents using Interpreters
Develop a hybrid Brain Swarm Interface (BSI) using a non invasive EEG headset to control swarms of robots using thoughts and eye movement.
Brain Swarm Interface (BSI)
http://sites.bu.edu/msl/research/brain-swarm-interface-bsi/
Recognizing hand motion with Microsoft Kinect and using it to control quadcopter
Microsoft Kinect controlled Quadcopter
Generate control inputs from EMG signals derived from the user's arm and use it to control quadcopter in 3D space.
Quadcopter control in 3D using EMG signals
Made a "Mars-Rover"​ capable of autonomous navigation and obstacle avoidance, localisation about its environment and wireless communication over the internet using "SUNSpots" as the development platform as a part of practicum requirements
Mars Rover
Used the principles of Voronoi Partitioning for dividing a given bounded space and performed Multi-Robotic Optimal Deployment by using a single quadcopter
Multi-Robotic Deployment using Quadcopters
developed a Human Machine Interface(HMI) for an automated car parking system project.
HMI for Vehicle Parking System
Built a working scaled model of a "Smart Room" equipped with smart power management, innovative alarm clock and door locking system.
Smart Room
Built an RC Nitro Buggy and took part in racing at 'Velocity"​ during the 'Engineer' technical fest
RC Nitro Buggy
Modelling ,simulations and manufacturing of 6 legged walking robot in order to emulate the "crab walk" based on the “Theo Jansen” mechanism.
Mechanical Crab Walker
Built a electro mechanical robot for dueling adn participated in Robowars during the Engineer Technical Fest
Robowars
Science and Technology
NeuroTechX
https://www.linkedin.com/company/neurotechx
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Co-organizer in NeuroTechX Boston Chapter
Coursera
Image and Video Processing
https://www.linkedin.com/in/g0wda
Boston, MA
Shashi Gowda
PhD Candidate at Massachusetts Institute of Technology
https://www.linkedin.com/in/ashrithssreddy
Tallahassee, FL
Ashrith R.
MS in Statistics Candidate | TheMathCompany | Mu Sigma | NITK Surathkal
https://nl.linkedin.com/in/adithyan-senthil-athiban-2a4a81155
Rijswijk
Adithyan Senthil Athiban
Master Student, Integrated Product Design at TU Delft
https://www.linkedin.com/in/austin-jones-2b115b196
San Francisco Bay Area
Austin Jones
Student at Stanford University
https://www.linkedin.com/in/sahana-vijaya-prasad
San Jose, CA
Sahana Vijaya Prasad
AR/VR Application Developer at Apple
https://www.linkedin.com/in/pbharrin
San Francisco Bay Area
Peter Harrington
Coding, Trading, Loving every day
https://www.linkedin.com/in/sanjiva-lele-23826631
Stanford, CA
Sanjiva Lele
Professor at Stanford University
https://in.linkedin.com/in/chitrabhanu-tamrakar-b3076986
Bengaluru
Chitrabhanu Tamrakar
Senior Data Analyst at Bright Money || Music Lover || Sports Enthusiast || NITK
https://in.linkedin.com/in/samtroberts
Bengaluru
Sam Roberts
Biz dev and marketeer with 3.5+ years of experience in media and tech startups actively looking for Marketing/APM roles.
https://www.linkedin.com/in/bo-xu-aaba3b7
Jersey City, NJ
Bo Xu
Cubistsystematic trading at Point72 Asset Management
https://www.linkedin.com/in/sridhar-gunnam
Santa Clara, CA
Sridhar Gunnam
ASIC Design Engineer at NVIDIA
https://cn.linkedin.com/in/sajid-kamal-%E6%92%92%E5%90%89-438102a4
Shenzhen
Sajid Kamal (撒吉)
at Harbin Institue of Technology
https://in.linkedin.com/in/samar-pratap-singh-parihar-b899921b1
Bengaluru
Samar Pratap singh Parihar
Student at National Institute of Technology, Tiruchirappalli
https://in.linkedin.com/in/ashwin-kanhere-9b1007a3
Mumbai
Ashwin Kanhere
Student at Indian Institute of Technology, Bombay
https://in.linkedin.com/in/ayushmalewar
Bengaluru
AYUSH MALEWAR
Lead Software Engineer at Ula | Ex-redBus | NITK | Backend | Data Engg
https://www.linkedin.com/in/pallavisrinivasan
Los Angeles, CA
Pallavi Srinivasan
Administrative Assistant at Napa Valley Grille, Tavistock Restaurants, LLC
https://be.linkedin.com/in/linyelyu
Ghent
Linye Lyu
PhD Researcher in Data Analytics and Machine Learning for Smart Grid Applications.