This page demonstrates scooping grasping motion with a robotic hand using fingertip force sensing. Please enable JavaScript to see the visualization. [RUSH] Scooping Grasping with Robotic Hand

Scooping Grasping with Robotic Hand

Sungkyunkwan University

Abstract

A robotic hand performing a scooping grasping motion — something you probably haven't seen often.

When humans pick up an object from the floor, we naturally use a scooping motion to lift and grasp it. However, controlling this motion is extremely challenging for grippers or robotic hands with rigid fingertips. Even with direct human teleoperation, managing contact with the environment remains difficult.

While using soft fingertips is an alternative, it inevitably comes with a trade-off: a loss of grasping force and positional accuracy.

💡 Our research team has solved this problem using fingertip sensors attached to the AIDIN Robotics hand. By utilizing the external forces generated when the finger makes contact with the environment, we successfully achieved a seamless scooping grasping motion.

Through this approach, the kinematic joints of the finger avoid forming a closed-loop chain with the environment upon contact, enabling safe interaction against external constraints.

Main Demo

Scooping grasping motion achieved via fingertip force sensing on AIDIN Robotics hand.

Scooping Grasping — fingertip force enables adaptive contact and natural lift-off from the floor.

Demo

Comparison — full comparison video showing the effect of compliance control during scooping.


Principle

Fingertip Force Transformation

Fingertip force-torque values are transformed to the wrist frame and combined with the wrist F/T sensor for compliance control of the manipulator.

Fingertip Contact Force — external forces are measured at each fingertip.

Fingertip Contact Force — external forces are measured at each fingertip.

Wrench Aggregation to Wrist Frame

Each fingertip wrench \(\mathbf{w}_i = (\mathbf{f}_i,\, \boldsymbol{\tau}_i)\) measured in the fingertip frame is transformed to the wrist frame \(\{W\}\) via the kinematic transform \({}^W T_i\). The rotation matrix \(\mathbf{R}_i\) and position offset \(\mathbf{r}_i\) are obtained from TF.

\[ \mathbf{f}_i^W = \mathbf{R}_i \, \mathbf{f}_i \]
\[ \boldsymbol{\tau}_i^W = \mathbf{R}_i \, \boldsymbol{\tau}_i + \mathbf{r}_i \times \mathbf{f}_i^W \]

The aggregated wrench at the wrist combines all \(N\) fingertip contributions and is merged with the physical wrist F/T reading \((\mathbf{f}_\text{wrist},\,\boldsymbol{\tau}_\text{wrist})\):

\[ \mathbf{f}_\text{total} = \mathbf{f}_\text{wrist} + \sum_{i=1}^{N} \mathbf{f}_i^W, \qquad \boldsymbol{\tau}_\text{total} = \boldsymbol{\tau}_\text{wrist} + \sum_{i=1}^{N} \boldsymbol{\tau}_i^W \]

This combined wrench \((\mathbf{f}_\text{total},\, \boldsymbol{\tau}_\text{total})\) is fed as the external force input to the impedance controller, enabling the manipulator to react compliantly to both wrist-level and fingertip-level contacts during the scooping grasping motion.

Fingertip Force Transformation — the fingertip F/T values are transformed and aggregated to the wrist frame for compliance control.


Comparison: w/ vs. w/o Wrist Wrench Aggregator

Without the aggregator, the manipulator cannot react sensitively to floor contact. With the aggregator, the combined fingertip wrench enables immediate compliant response.

Click on any video to play both simultaneously.

Without Aggregator — fingertip forces are not reflected to the wrist; the hand cannot react to contact sensitively.

With Aggregator — aggregated fingertip wrench at the wrist enables sensitive, compliant scooping from the floor.