ReviewSensors (Basel, Switzerland)2021
Insect-Inspired Robots: Bridging Biological and Artificial Systems.
Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 79 citations in OpenAlex.
- Spider-Leg-Inspired Structural Design and Bézier Foot Trajectory Planning for Stable Walking of a Hexapod Robot.Biomimetics (Basel, Switzerland) · 2026Article
- Biomimetic Artificial Muscles Inspired by Nature's Volume-Change Actuation Mechanisms.Biomimetics (Basel, Switzerland) · 2025Review
- A Vector-Based Computational Model of Multimodal Insect Learning Walks.Biomimetics (Basel, Switzerland) · 2025Article
- Article
- The Right Tool for the Job: A Review of Insect Mouthparts as a Tool Kit for Biomimetic Studies.Biomimetics (Basel, Switzerland) · 2025Review
- I2Bot: an open-source tool for multi-modal and embodied simulation of insect navigation.Journal of the Royal Society, Interface · 2025Article
- Animal-Morphing Bio-Inspired Mechatronic Systems: Research Framework in Robot Design to Enhance Interplanetary Exploration on the Moon.Biomimetics (Basel, Switzerland) · 2024Review
- Intelligent Rock-Climbing Robot Capable of Multimodal Locomotion and Hybrid Bioinspired Attachment.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- A model-free method to learn multiple skills in parallel on modular robots.Nature communications · 2024Article
- Shaping the energy curves of a servomotor-based hexapod robot.Scientific reports · 2024Article
- A leg model based on anatomical landmarks to study 3D joint kinematics of walking inFrontiers in bioengineering and biotechnology · 2024Article
- High-resolution analysis of individualOpen biology · 2023Article
- Editorial: Multimodal behavior from animals to bio-inspired robots.Frontiers in neurorobotics · 2023Article
- Adaptive load feedback robustly signals force dynamics in robotic model ofFrontiers in neurorobotics · 2023Article
- Editorial: Focus on methods: neural algorithms for bio-inspired robotics.Frontiers in neurorobotics · 2023Article
- The Roles and Comparison of Rigid and Soft Tails in Gecko-Inspired Climbing Robots: A Mini-Review.Frontiers in bioengineering and biotechnology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 5 institutions in 5 countries.
Funding
Abstract
This review article aims to address common research questions in hexapod robotics. How can we build intelligent autonomous hexapod robots that can exploit their biomechanics, morphology, and computational systems, to achieve autonomy, adaptability, and energy efficiency comparable to small living creatures, such as insects? Are insects good models for building such intelligent hexapod robots because they are the only animals with six legs? This review article is divided into three main sections to address these questions, as well as to assist roboticists in identifying relevant and future directions in the field of hexapod robotics over the next decade. After an introduction in section (1), the sections will respectively cover the following three key areas: (2) biomechanics focused on the design of smart legs; (3) locomotion control; and (4) high-level cognition control. These interconnected and interdependent areas are all crucial to improving the level of performance of hexapod robotics in terms of energy efficiency, terrain adaptability, autonomy, and operational range. We will also discuss how the next generation of bioroboticists will be able to transfer knowledge from biology to robotics and vice versa.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.