A robot in a cage-exploring interactions between animals and robots

Böhlen, Marc

doi:10.1109/cira.1999.810051

Cited by 21 publications

(14 citation statements)

References 5 publications

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“…The use of space may play a role in the level of familiarization reached by each animal. An acceptance/indifference towards biomimetic robots has been observed for many species with increasing coexisting time (Bohlen, 1999;Garnier et al, 2008;Polverino and Porfiri, 2013), which in the case of the crawler can apply to resident individuals/species. Conversely, species known for their territoriality or individuals defending their prey/mate might display agonistic posture (e.g., grooved tanner crabs; Doya et al, 2017).…”

Section: Adaptation Of Fauna To the Platformmentioning

confidence: 99%

Transects in the deep: Opportunities with tele-operated resident seafloor robots

et al. 2022

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Scientific, industrial and societal needs call urgently for the development and establishment of intelligent, cost-effective and ecologically sustainable monitoring protocols and robotic platforms for the continuous exploration of marine ecosystems. Internet Operated Vehicles (IOVs) such as crawlers, provide a versatile alternative to conventional observing and sampling tools, being tele-operated, (semi-) permanent mobile platforms capable of operating on the deep and coastal seafloor. Here we present outstanding observations made by the crawler “Wally” in the last decade at the Barkley Canyon (BC, Canada, NE Pacific) methane hydrates site, as a part of the NEPTUNE cabled observatory. The crawler followed the evolution of microhabitats formed on and around biotic and/or abiotic structural features of the site (e.g., a field of egg towers of buccinid snails, and a colonized boulder). Furthermore, episodic events of fresh biomass input were observed (i.e., the mass transport of large gelatinous particles, the scavenging of a dead jellyfish and the arrival of macroalgae from shallower depths). Moreover, we report numerous faunal behaviors (i.e., sablefish rheo- and phototaxis, the behavioral reactions and swimming or resting patterns of further fish species, encounters with octopuses and various crab intra- and interspecific interactions). We report on the observed animal reactions to both natural and artificial stimuli (i.e., crawler’s movement and crawler light systems). These diverse observations showcase different capabilities of the crawler as a modern robotic monitoring platform for marine science and offshore industry. Its long deployments and mobility enable its efficiency in combining the repeatability of long-term studies with the versatility to opportunistically observe rarely seen incidents when they occur, as highlighted here. Finally, we critically assess the empirically recorded ecological footprint and the potential impacts of crawler operations on the benthic ecosystem of the Barkley Canyon hydrates site, together with potential solutions to mitigate them into the future.

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Section: Adaptation Of Fauna To the Platformmentioning

confidence: 99%

Transects in the deep: Opportunities with tele-operated resident seafloor robots

et al. 2022

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“…Open-loop control strategies have been implemented for crustaceans [7], honeybees [8], fish [9 -14], quails [15], brush-turkeys [16], songbirds [17,18] and squirrels [19]. Closed-loop control has instead been implemented on cockroaches [20], fish [21], chickens [22], ducks [23], bowerbirds [24], dogs [25] and rats [26]. More specifically, ground-wheeled vehicles have been used to engage animals in earlier studies [20,22,23,26]; the interaction between a commercially available quadrupedal robot with dogs has been studied in Kubinyi et al [25]; the response of shoals of golden shiners to a replica rigidly translating in a water tank has been investigated in Swain et al [21]; and the posture and movement of a robotic female satin bowerbird remotely controlled based on courtship behaviours of males has been explored in Patricelli et al [24].…”

Section: Introductionmentioning

confidence: 99%

Closed-loop control of zebrafish response using a bioinspired robotic-fish in a preference test

Kopman

Laut

Polverino

et al. 2013

J. R. Soc. Interface.

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In this paper, we study the response of zebrafish to a robotic-fish whose morphology and colour pattern are inspired by zebrafish. Experiments are conducted in a three-chambered instrumented water tank where a roboticfish is juxtaposed with an empty compartment, and the preference of live subjects is scored as the mean time spent in the vicinity of the tank's two lateral sides. The tail-beating of the robotic-fish is controlled in real-time based on feedback from fish motion to explore a spectrum of closed-loop systems, including proportional and integral controllers. Closed-loop control systems are complemented by open-loop strategies, wherein the tail-beat of the robotic-fish is independent of the fish motion. The preference space and the locomotory patterns of fish for each experimental condition are analysed and compared to understand the influence of real-time closed-loop control on zebrafish response. The results of this study show that zebrafish respond differently to the pattern of tail-beating motion executed by the robotic-fish. Specifically, the preference and behaviour of zebrafish depend on whether the robotic-fish tail-beating frequency is controlled as a function of fish motion and how such closed-loop control is implemented.

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“…Animal world has been used conceptually by robotics as a source of inspiration for machine intelligence. For the purpose of studying animal behavior and intelligence, the model of interaction between animals and machines is proposed in researches like [1]. Crucial characteristic of machine intelligence is that the robot should be able to use input information from sensor to know how to behave in a changing environment and furthermore can learn from the environment for safety like avoiding obstacle.…”

Section: Introductionmentioning

confidence: 99%

Validity analysis of chaos generated with Neural-Network-Differential-Equation for robot to reduce fish's learning speed

Inukai¹,

Minami²,

Yanou³

2016

JAE

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We have been investigating a method to compose some intelligent robots. Continuous catching and releasing experiment for fish induces the fish to find some escaping strategies staying at corners of a pool. To make fish-catching robot more intelligent than fish's adapting and escaping abilities, we have proposed a chaos-generator comprising Neural-Network-Differential-Equation (NNDE) and an evolving mechanism to have the system generate chaotic trajectories as many as possible. We believe that the fish could not be adaptive enough to escape from chasing net with chaos motions since unpredictable chaotic motions of net may go beyond the fish's adapting abilities to the net motions. In this report we confirmed that four type of chaos are generated by NNDE and one of them is valid for decreasing the fish's learning velocities, which we judged that could be thought that the chaos increased the robot's intelligence relatively against fish's escaping intelligence.

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A robot in a cage-exploring interactions between animals and robots

Cited by 21 publications

References 5 publications

Transects in the deep: Opportunities with tele-operated resident seafloor robots

Transects in the deep: Opportunities with tele-operated resident seafloor robots

Closed-loop control of zebrafish response using a bioinspired robotic-fish in a preference test

Validity analysis of chaos generated with Neural-Network-Differential-Equation for robot to reduce fish's learning speed

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