Autonomous Delivery Robots PDF

Autonomous Delivery Robots Members: Jay-r Sebio Bomogao Kyle Christian Valenzuela Mark Andre Acuar Roselyn Marchial Sarah Mae Daclan OVERVIEW Autonomous delivery robots (ADRs) are self-driving machines designed to transport goods from one location to another without human intervention. An ope...

Autonomous Delivery Robots Members: Jay-r Sebio Bomogao Kyle Christian Valenzuela Mark Andre Acuar Roselyn Marchial Sarah Mae Daclan OVERVIEW Autonomous delivery robots (ADRs) are self-driving machines designed to transport goods from one location to another without human intervention. An operator may monitor and take control of the robot if it encounters situations such as being stuck on an obstacle.  History Timeline Early Testing Early and Pandemic-Era Innovations Partnerships Adoption and and Theoretical with Key Regulatory Beginnings Delivery Service Breakthroughs 2011– 2015 2018- 2020- 2022- 2010s 2000s 2000s 2000s 2000s 2023 2000s 2014 –2017 2019 2022 2023 Founding of Expansion on Scaling and Starship University Industry Technologies Campuses and Milestones and Initial Entry of New Prototypes Players  Key Technologies Sensors and cameras GPS Artificial intelligence Batteries Security systems  Types of Autonomous Delivery Robots Ground-Based Robots Indoor Robots Aerial Robots APPLICATION AND USE CASES Food delivery Example: Kerfuś by Pudu Robotics, deployed in Poland in 2022. Delivers items like food and packages, and interacts with users through a display screen. APPLICATION AND USE CASES Grocery delivery Example: Starship robot from Starship Technologies Grocery delivery began in England, in April 2018. Transports groceries from stores to customers' locations. APPLICATION AND USE CASES Package delivery Example: Amazon Scout introduced by Amazon in 2019 to deliver small packages. Deployed in specific regions within United States. APPLICATION AND USE CASES Hospital delivery Example: Zipline’s drones Deployed in 2016 in Rwanda due to the country’s challenging terrain. Delivers medical supplies to remote and hard-to-reach areas by dropping them via parachutes. APPLICATION AND USE CASES Room Service Example: AURA by Savioke, introduced in Singapore in 2017. Delivers items like toiletries, snacks, and other essentials to guests' rooms. IMPACT TO SOCIETY Past Impact (2011) In 2011, companies like Starship Technologies started testing small delivery robots in places like university campuses or business districts. These pilot programs helped companies plan for more widespread use in the future, opening doors for new delivery models (robotic, drone, etc.) IMPACT TO SOCIETY Present Impact (2024) Autonomous robots make deliveries quicker and cheaper. Electric-powered robots reduce carbon emissions and traffic congestion. Lower operational costs and streamlined delivery processes. IMPACT TO SOCIETY Future Impact It will become a primary method for handling deliveries in cities. Cities will develop robot-friendly infrastructure, such as dedicated lanes and paths. It will become more advanced, with improved capabilities like multi-stop deliveries, real-time routing, and handling larger packages. OBJECT DETECTION TUTORIAL Image Classification Versus Object Detection Image Classification Object Detection Process of Object Detection 1. Image Preprocessing: The image is resized, normalized, and formatted to prepare it for analysis by the model. 2. Feature Extraction: The system uses CNNs to detect important visual features like edges, corners, and textures in the image. Process of Object Detection 3. Region Proposal: The model suggests possible regions (bounding boxes) where objects may be located in the image. 4. Classification and Localization: The model classifies the object within each proposed region and adjusts the bounding box to fit it accurately. Process of Object Detection 5. Non-Maximum Suppression: Overlapping or redundant bounding boxes are removed, keeping only the most confident detections. 6. Bounding Box Regression: The bounding box positions are refined to fit the object more precisely. Process of Object Detection 7. Post-Processing: Final adjustments are made, such as discarding low- confidence detections and ensuring box accuracy. GROUP QUIZ REFERENCES https://www.sciencedirect.com/science/article/abs/pii/S1366554522002150 https://onsite.grubhub.com/blog/how-do-food-delivery-robots-work/ https://fritz.ai/object-detection/ https://pareto.ai/blog/object- detection#:~:text=Object%20detection%20utilizes%20advanced%20algorithms,)%20 and%20region%2Dbased%20methods.