65 citations · 218 across the 17 of their papers we have counts for
20 papers
FOCUS: From Privileged States to RGB-D with Controlled Modality Switching and Representation Alignment
Filip Grigorov, Kourosh Darvish, Nandita Vijaykumar
Vision-based reinforcement learning for robotic manipulation is sample-inefficient because RGB-D observations are high-dimensional and noisy. Privileged state information available…
Dynamic Execution Horizon Prediction for Chunk-based Robot Policies
Yuchi Zhao, Miroslav Bogdanovic, Arjun Sohal +5
Action chunking has become a standard design in modern robot policies, from diffusion/flow policies to vision-language-action models, where the policy predicts a sequence of action…
MATTERIX: toward a digital twin for robotics-assisted chemistry laboratory automation
Kourosh Darvish, Arjun Sohal, Abhijoy Mandal +20
Accelerated materials discovery is critical for addressing global challenges. However, developing new laboratory workflows relies heavily on real-world experimental trials, and thi…
RoboCulture: A Robotics Platform for Automated Biological Experimentation
Kevin Angers, Kourosh Darvish, Naruki Yoshikawa +6
Automating biological experimentation remains challenging due to the need for millimeter-scale precision, long and multi-step experiments, and the dynamic nature of living systems.…
AnyPlace: Learning Generalized Object Placement for Robot Manipulation
Yuchi Zhao, Miroslav Bogdanovic, Chengyuan Luo +5
Object placement in robotic tasks is inherently challenging due to the diversity of object geometries and placement configurations. To address this, we propose AnyPlace, a two-stag…
Accelerating Discovery in Natural Science Laboratories with AI and Robotics: Perspectives and Challenges from the 2024 IEEE ICRA Workshop, Yokohama, Japan
Andrew I. Cooper, Patrick Courtney, Kourosh Darvish +20
Science laboratory automation enables accelerated discovery in life sciences and materials. However, it requires interdisciplinary collaboration to address challenges such as robus…
RePLan: Robotic Replanning with Perception and Language Models
Marta Skreta, Zihan Zhou, Jia Lin Yuan +3
Advancements in large language models (LLMs) have demonstrated their potential in facilitating high-level reasoning, logical reasoning and robotics planning. Recently, LLMs have al…
ORGANA: A Robotic Assistant for Automated Chemistry Experimentation and Characterization
Kourosh Darvish, Marta Skreta, Yuchi Zhao +9
Chemistry experiments can be resource- and labor-intensive, often requiring manual tasks like polishing electrodes in electrochemistry. Traditional lab automation infrastructure fa…
Online Action Recognition for Human Risk Prediction with Anticipated Haptic Alert via Wearables
Cheng Guo, Lorenzo Rapetti, Kourosh Darvish +3
This paper proposes a framework that combines online human state estimation, action recognition and motion prediction to enable early assessment and prevention of worker biomechani…
Errors are Useful Prompts: Instruction Guided Task Programming with Verifier-Assisted Iterative Prompting
Marta Skreta, Naruki Yoshikawa, Sebastian Arellano-Rubach +6
Generating low-level robot task plans from high-level natural language instructions remains a challenging problem. Although large language models have shown promising results in ge…
Simultaneous Action Recognition and Human Whole-Body Motion and Dynamics Prediction from Wearable Sensors
Kourosh Darvish, Serena Ivaldi, Daniele Pucci
This paper presents a novel approach to solve simultaneously the problems of human activity recognition and whole-body motion and dynamics prediction for real-time applications. St…
Teleoperation of Humanoid Robots: A Survey
Kourosh Darvish, Luigi Penco, Joao Ramos +5
Teleoperation of humanoid robots enables the integration of the cognitive skills and domain expertise of humans with the physical capabilities of humanoid robots. The operational v…
Chemistry Lab Automation via Constrained Task and Motion Planning
Naruki Yoshikawa, Andrew Zou Li, Kourosh Darvish +6
Chemists need to perform many laborious and time-consuming experiments in the lab to discover and understand the properties of new materials. To support and accelerate this process…
iCub3 Avatar System: Enabling Remote Fully-Immersive Embodiment of Humanoid Robots
Stefano Dafarra, Ugo Pattacini, Giulio Romualdi +18
We present an avatar system designed to facilitate the embodiment of humanoid robots by human operators, validated through iCub3, a humanoid developed at the Istituto Italiano di T…
A Task Allocation Approach for Human-Robot Collaboration in Product Defects Inspection Scenarios
Hossein Karami, Kourosh Darvish, Fulvio Mastrogiovanni
The presence and coexistence of human operators and collaborative robots in shop-floor environments raises the need for assigning tasks to either operators or robots, or both. Depe…
A Hierarchical Architecture for Human-Robot Cooperation Processes
Kourosh Darvish, Enrico Simetti, Fulvio Mastrogiovanni +1
In this paper we propose FlexHRC+, a hierarchical human-robot cooperation architecture designed to provide collaborative robots with an extended degree of autonomy when supporting…
Deployment and Evaluation of a Flexible Human-Robot Collaboration Model Based on AND/OR Graphs in a Manufacturing Environment
Prajval Kumar Murali, Kourosh Darvish, Fulvio Mastrogiovanni
The Industry 4.0 paradigm promises shorter development times, increased ergonomy, higher flexibility, and resource efficiency in manufacturing environments. Collaborative robots ar…
Recent Advances in Human-Robot Collaboration Towards Joint Action
Yeshasvi Tirupachuri, Gabriele Nava, Lorenzo Rapetti +3
Robots existed as separate entities till now, but the horizons of a symbiotic human-robot partnership are impending. Despite all the recent technical advances in terms of hardware,…
Whole-Body Geometric Retargeting for Humanoid Robots
Kourosh Darvish, Yeshasvi Tirupachuri, Giulio Romualdi +4
Humanoid robot teleoperation allows humans to integrate their cognitive capabilities with the apparatus to perform tasks that need high strength, manoeuvrability and dexterity. Thi…
Model-Based Real-Time Motion Tracking using Dynamical Inverse Kinematics on SO(3)
Lorenzo Rapetti, Yeshasvi Tirupachuri, Kourosh Darvish +2
This paper contributes towards the development of motion tracking algorithms for time-critical applications, proposing an infrastructure for solving dynamically the inverse kinemat…