# Artificial Intelligence and Robotics

arXiv: https://arxiv.org/abs/1803.10813 · HTML: https://mlsanity.com/paper/1803.10813/

## Key facts

- Cited by 7 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 Mar 2018.

## Built on by (most cited first, 7 of 7)

- [Multi-Condition Latent Diffusion Network for Scene-Aware Neural Human Motion Prediction](https://mlsanity.com/paper/2405.18700/) (2024)
- [Fairness in AI and Its Long-Term Implications on Society](https://mlsanity.com/paper/2304.09826/) (2023)
- [Can I say, now machines can think?](https://mlsanity.com/paper/2307.07526/) (2023)
- [EMGTFNet: Fuzzy Vision Transformer to decode Upperlimb sEMG signals for Hand Gestures Recognition](https://mlsanity.com/paper/2310.03754/) (2023)
- [Embedded Computer Vision System Applied to a Four-Legged Line Follower Robot](https://mlsanity.com/paper/2101.04804/) (2021)
- [Autonomous bot with ML-based reactive navigation for indoor environment](https://mlsanity.com/paper/2111.12542/) (2021)
- [Personalised and Adjustable Interval Type-2 Fuzzy-Based PPG Quality Assessment for the Edge](https://mlsanity.com/paper/2309.13464/) (2023)

## Abstract (arXiv)

The recent successes of AI have captured the wildest imagination of both the scientific communities and the general public. Robotics and AI amplify human potentials, increase productivity and are moving from simple reasoning towards human-like cognitive abilities. Current AI technologies are used in a set area of applications, ranging from healthcare, manufacturing, transport, energy, to financial services, banking, advertising, management consulting and government agencies. The global AI market is around 260 billion USD in 2016 and it is estimated to exceed 3 trillion by 2024. To understand the impact of AI, it is important to draw lessons from it's past successes and failures and this white paper provides a comprehensive explanation of the evolution of AI, its current status and future directions.