Papers for

robotic hand designers

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

High-resolution touch sensors reveal how experts control badminton rackets

High-resolution tactile observation makes hidden racket-control mechanisms learnable

Abstract: Experts can master fine hand-object manipulation skills, yet limited conscious perception of rapid tactile interactions hinders their ability to articulate the underlying control mechanisms. Badminton racket control requires rapid, fine hand-force coordination, providing a demanding testbed for uncovering these mechanisms. An 864-node tactile-inertial glove with synchronized 100-Hz acquisition recorded over 14,000 strokes from more than 70 participants across five skills. Inspired by sensorimotor control, our mechanics-grounded two-layer framework inferred object-driving and grip-stabilizing control from tactile history, while resolving their spatiotemporal force realization. We found that higher proficiency was associated with selective rather than extensive control: greater skill specificity, anticipatory regulation, focal distal modulation and lower geometric torque cancellation, while spatiotemporal coordination showed a non-monotonic acquire-refine pattern. We translated these mechanisms into personalized guidance targeting force control and force-motion coordination. In a randomized cohort, mechanism-guided learners gained 0.72 expert-rated skill levels versus 0.05 with level-only feedback, making control mechanisms actionable.

Mon 26 OctMachine LearningHuman-Computer InteractionRobotics
The gist
Fine hand control during fast movements, like playing badminton, involves complex touch-based forces that are hard to notice consciously. The authors used a special glove with many sensors to record how people of different skill levels handle a badminton racket. They discovered specific patterns in how experts control grip and movement forces. These insights helped them create personalized training feedback that improved learners’ skills more than usual coaching.
Open → 2610.35563v1

Fully actuated robotic finger with joint-specific remote actuation design

Design of a Fully Actuated 4-DOF Robotic Finger With Joint-Specific Hybrid Remote Actuation

Abstract: This paper presents a fully actuated 4-DOF robotic finger using a joint-specific hybrid remote-actuation architecture. The metacarpophalangeal (MCP) joint is driven by two coordinated rigid-link transmission sets, whereas the proximal interphalangeal (PIP) and distal interphalangeal (DIP) joints are independently actuated by closed-loop wire transmissions incorporating circular rolling-contact joints (RCJs). A larger transmission radius is used at the PIP joint than at the DIP joint. The RCJ wire geometry maintains the total wire-loop length during joint rotation, and the DIP wire routing is designed so that PIP motion does not affect its differential actuation for a fixed MCP configuration. The distal wire transmission, MCP linkage, and fingertip kinematics are analytically modeled. In experiments, the transmission behavior was quantitatively evaluated from the ball-screw displacements measured using ArUco-marker tracking. MCP actuation produced measurable displacements of the PIP and DIP transmission units, whereas isolated PIP and DIP actuation with the MCP fixed supported the intended mechanical decoupling between the distal transmissions. The mean peak fingertip forces under isolated MCP, PIP, and DIP actuation were 21.28 N, 9.22 N, and 5.75 N, respectively. The resulting finger postures were also examined using objects of different geometries and sizes.

Wed 7 OctRobotics
The gist
Robotic fingers need to move precisely like human fingers to grasp objects well. This paper shows a new robotic finger with four joints that are each controlled independently using a mix of cables and linkages. The system keeps the cables from interfering with each other’s movements and makes sure the finger can apply forces at each joint. The authors tested it by measuring finger movements and forces, showing it can handle different objects with separate joint control.
Open → 2610.10180v1

Underactuated multi-finger hand design improves stable object grasping

Quasi-static analysis of passive stability in a novel underactuated multi-finger hand

Abstract: Underactuated robotic hands achieve adaptive and robust grasping with a reduced number of actuators, but predicting the stable equilibrium pose of the grasped object remains a significant challenge. This paper introduces a quasi-static analytical approach to assess passive stability in underactuated multi-finger hands. A novel three-finger hand architecture integrating a differential spring-loaded slider mechanism is introduced, enabling versatile and adaptive grasping. The study focuses on how the differential mechanism influences the overall grasp behavior and analyzes the effect of object size on the stable equilibrium configurations for two canonical grasp types: cylindrical and spherical.

Thu 10 SeptRobotics
The gist
Grasping objects with robotic hands that use fewer motors is tricky because it's hard to predict how the object will stay balanced. The authors created a new three-finger robotic hand with a clever spring and slider system that adapts its grip more naturally. They studied how this design affects the hand's ability to hold cylindrical and spherical objects stably, considering different object sizes. Their approach helps understand which hand positions will keep an object from slipping or falling.
Open → 2609.11579v1