activity
20122026
most citedEvolution of Plastic Learning in Spiking Networks via Memristive Connections

74 citations · 153 across the 9 of their papers we have counts for

collaborators

10 papers

cs.RO2026

Grasp Synthesis Matching From Rigid To Soft Robot Grippers Using Conditional Flow Matching

Tanisha Parulekar, Ge Shi, Josh Pinskier +2

A representation gap exists between grasp synthesis for rigid and soft grippers. Anygrasp [1] and many other grasp synthesis methods are designed for rigid parallel grippers, and a…

cs.RO2026

ReefFlex: A Generative Design Framework for Soft Robotic Grasping of Organic and Fragile objects

Josh Pinskier, Sarah Baldwin, Stephen Rodan +1

Climate change, invasive species and human activities are currently damaging the world's coral reefs at unprecedented rates, threatening their vast biodiversity and fisheries, and…

cs.RO2025

Soft Pneumatic Grippers: Topology optimization, 3D-printing and Experimental validation

Prabhat Kumar, Chandra Prakash, Josh Pinskier +2

Typically, heuristic/trial-based approaches are used to design soft pneumatic grippers (SPGs). This paper presents a systematic topology optimization framework for developing SPGs.…

cs.NE2020

Diversity-based Design Assist for Large Legged Robots

David Howard, Thomas Lowe, Wade Geles

We combine MAP-Elites and highly parallelisable simulation to explore the design space of a class of large legged robots, which stand at around 2m tall and whose design and constru…

cs.RO2019

A Staged Approach to Evolving Real-world UAV Controllers

Gerard David Howard, Alberto Elfes

A testbed has recently been introduced that evolves controllers for arbitrary hover-capable UAVs, with evaluations occurring directly on the robot. To prepare the testbed for real-…

cs.NE2017★ 1 cited

On Self-Adaptive Mutation Restarts for Evolutionary Robotics with Real Rotorcraft

Gerard David Howard

Self-adaptive parameters are increasingly used in the field of Evolutionary Robotics, as they allow key evolutionary rates to vary autonomously in a context-sensitive manner throug…