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Unfolding the literature: A review of robotic cloth manipulation
The realm of textiles spans clothing, households, healthcare, sports, and industrial
applications. The deformable nature of these objects poses unique challenges that prior …
applications. The deformable nature of these objects poses unique challenges that prior …
Aligning cyber space with physical world: A comprehensive survey on embodied ai
Embodied Artificial Intelligence (Embodied AI) is crucial for achieving Artificial General
Intelligence (AGI) and serves as a foundation for various applications that bridge cyberspace …
Intelligence (AGI) and serves as a foundation for various applications that bridge cyberspace …
AHA: A vision-language-model for detecting and reasoning over failures in robotic manipulation
Robotic manipulation in open-world settings requires not only task execution but also the
ability to detect and learn from failures. While recent advances in vision-language models …
ability to detect and learn from failures. While recent advances in vision-language models …
Beyond sight: Finetuning generalist robot policies with heterogeneous sensors via language grounding
Interacting with the world is a multi-sensory experience: achieving effective general-purpose
interaction requires making use of all available modalities--including vision, touch, and …
interaction requires making use of all available modalities--including vision, touch, and …
Humanoid locomotion and manipulation: Current progress and challenges in control, planning, and learning
Humanoid robots have great potential to perform various human-level skills. These skills
involve locomotion, manipulation, and cognitive capabilities. Driven by advances in machine …
involve locomotion, manipulation, and cognitive capabilities. Driven by advances in machine …
Generative AI agents in autonomous machines: A safety perspective
The integration of Generative Artificial Intelligence (AI) into autonomous machines
represents a major paradigm shift in how these systems operate and unlocks new solutions …
represents a major paradigm shift in how these systems operate and unlocks new solutions …
Neuro-motor controlled wearable augmentations: current research and emerging trends
Wearable augmentations (WAs) designed for movement and manipulation, such as
exoskeletons and supernumerary robotic limbs, are used to enhance the physical abilities of …
exoskeletons and supernumerary robotic limbs, are used to enhance the physical abilities of …
Large Language Models Are Challenged by Habitat-Centered Reasoning
In this paper we perform a novel in-depth evaluation of text-only and multimodal LLMs'
abilities to reason about object* habitats* or conditions on how objects are situated in their …
abilities to reason about object* habitats* or conditions on how objects are situated in their …
AnyTouch: Learning Unified Static-Dynamic Representation across Multiple Visuo-tactile Sensors
Visuo-tactile sensors aim to emulate human tactile perception, enabling robots to precisely
understand and manipulate objects. Over time, numerous meticulously designed visuo …
understand and manipulate objects. Over time, numerous meticulously designed visuo …
Robot Navigation Using Physically Grounded Vision-Language Models in Outdoor Environments
We present a novel autonomous robot navigation algorithm for outdoor environments that is
capable of handling diverse terrain traversability conditions. Our approach, VLM-GroNav …
capable of handling diverse terrain traversability conditions. Our approach, VLM-GroNav …