Supun Randeni

dblp:336/7274 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2025
0000-0003-3266-2810ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 since 2021Systems, architecture and hardware · 2 · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Robot navigation and mapping · 77% Legged, aerial and field robots · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping
state estimation
0.912025
Hybrid State Estimation and Mode Identification of an Amphibious Robot · ICRA 2025
Robotics › Legged, aerial and field robots › underwater robotics
amphibious robot
0.312025
Hybrid State Estimation and Mode Identification of an Amphibious Robot · ICRA 2025

Methods — techniques the papers use, named apart from their topics

salted kalman filter · 0.9multiplicative extended kalman filter · 0.9
YearPublicationVenuePosition
2025 Hybrid State Estimation and Mode Identification of an Amphibious Robot
abstract
C-Ray is an amphibious robot that is capable of swimming in water and crawling on land using its undulating fins, enabling operations in a wide range of environments. The robot can be modeled as a hybrid dynamical system whose dynamics and propulsion change when the robot transitions between water and land. Most importantly, the direction of wave travel in the robot's fins is reversed between its swimming and crawling locomotion styles. To operate autonomously, C-Ray requires both accurate identification of when transitions between water and land occur and robust state estimation in littoral environments where the transition dynamics are highly discontinuous and transient. This paper presents a hybrid observer for estimating continuous states and identifying state-driven mode switches for C-Ray, enabling autonomous water/land-transitions. The proposed observer is a combination of the multiplicative extended Kalman filter (MEKF) and the salted Kalman filter, a newly proposed Kalman filter for mapping state uncertainty during hybrid transitions. We also propose an altitude and sea floor geometry observer and incorporate this directly into the MEKF. The performance is evaluated in simulations.
Herman B. Amundsen, Supun Randeni, Russell C. Bingham, Carles Civit, B. Pietro Filardo, Martin Føre, Eleni Kelasidi, Michael R. Benjamin
ICRA2
2023 Perseus AUV: Towards Linear Convoying of Agile A-Sized AUVs Through Acoustic Track-and-Trail
abstract
We present the Perseus autonomous underwater vehicle (AUV) - an A-sizedaaA-size stands for the standard sonobuoy [2] form factor, with a maximum diameter of 124 mm and a length of around 0.9 m, ensuring the ability to launch from standard sonobuoy launchers onboard a wide array of fixed wing and rotary wing air crafts, surface ships and submarines [3] micro AUV, outfitted with a low-cost passive inverted ultra-short baseline (piUSBL) acoustic reception system, which allows it to acoustically track-and-trail a leader vehicle that carries an acoustic transmission source. With a long-term goal of linear convoying of multiple A-sized AUVs, in this work, we used an unmanned surface vehicle (USV) towing an acoustic source, as a proxy for a lead AUV, demonstrating that the Perseus AUV is able to successfully track-and-trail a leader vehicle. The AUV was also outfitted with a tuna-inspired morphing fin mechanism that allowed the vehicle to achieve good directional stability as well as good maneuverability; properties that are useful for linear convoying AUVs, but are presently difficult to achieve because they impose contradictory requirements. We demonstrated this system with real-world, in-water experiments in the Charles river, Massachusetts, USA.
Nick Rypkema, Supun Randeni, Michael Sacarny, Michael R. Benjamin, Michael S. Triantafyllou
IROS2