Clustered Multi-Target Search in Unknown Large Environments Using Modified Bee Swarm Optimization

Swarm robotics (SR) is an emerging field of research that utilizes a swarm of robots that work together as a team to solve complex problems. One such challenge in SR is the exploration of unknown environments to find multiple targets. This problem finds applications in various domains, such as archaeology, underground exploration, signal source...

Comparative Analysis of Exploration Algorithms in Deep Reinforcement Learning for Autonomous Driving: How does epsilon-greedy, random network distillation, bootstrapped DQN affect training and the robustness of final policies under various testing conditions in autonomous driving?

Autonomous driving is a rapidly evolving field that aims to enhance road safety and reduce accidents through the use of advanced software and hardware technologies. Reinforcement learning (RL) combined with deep neural networks has emerged as a promising approach for training autonomous agents. This research paper investigates three exploration...

Active Inference for Graph Exploration and Searching in Unknown Environments: An Application to Mobile Robots

The autonomy of mobile robots has been greatly improved in recent decades. For these robots, the field of search and rescue is of particular interest. This thesis introduces a new method to let a mobile robot (Spot by Boston Dynamics) explore and search for victims in unknown environments. Existing methods include coverage, which aims to fully...

A landscape for learning: Anchor points for exploration

Bridging the corporate and start-up world by creating “raise-up” companies: The development of a model that supports the creation of new ventures for corporate opportunities

To meet all of these requirements, this paper proposes a “raise-up” as a solution: “An adolescent organisation, designed to explore and scale a business model”. Put differently, this “raise-up” bridges the valley of death and enables the corporate to exploit radical innovations. “Raise-ups” are created to exploit a unique market opportunity that...

Improving training for climbers by enhancing explorative climbing in indoor climbing gyms

Climbing indoors is growing in popularity and is even considered to be included in the Olympic games of 2020 in Japan. Despite the fact that numerous new climbing gyms are being built, there has been little innovation in the gyms themselves. For decades, climbing gyms have wooden walls with plastic holds screwed onto them, and the question...

Managing ambidexterity in fast growing small and medium sized tech enterprises

Distributed Map Construction

Assume that two sub-graphs of a graph are available and that the graph represents the corridors in a building. Without using any previous knowledge on the entire graph, can these two sub-graphs be used to construct an extended view on the entire graph. To test this assumption a collection of algorithms will be designed and implemented which can...

Strategy and Focus of the Firms: A study of their relationship in networks

This research analyzes whether there is a relationship between the strategy (entrepreneurial and market orientation) and the focus of the firms (explorative and exploitative) that determines the way in which spin-offs use their networks. The study includes data from 72 young-technology-based spin-offs within The Netherlands. The results show...